Publishing type：Research paper (international conference proceedings)  

It is known that comfort is affected by various factors such as sensible temperature, air quality, light, sound, and floor area. Among them, the sensible temperature has a great influence on comfort and has been studied extensively. A new standard effective temperature has resulted from a study of the typical quantification of sensible temperature. However, the model has two problems: The first is that individual differences cannot be considered. Second, there are factors that cannot be considered among the factors for sensible temperature. In this research, subjective temperature is predicted using individual physiological data. By doing this, we expect to see the individual differences that could not be observed using the existing method. Moreover, there is a possibility that subjective temperature can be predicted without considering many factors.

DOI： 10.1007/978-3-319-94944-4_6

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

Experiment was conducted on the memory in the impression of video. I used a TV commercial (TVCM) to use it as an video. Based on the author’s previous research, we conducted experiments using NIRS this time. Focusing on the impression of TVCM, the presence or absence of memory fixation in impression was measured by using a task of removing visual/audio infor-mation other than impression factors. As a result, impression and suggestion of brain region related to memory was obtained.

DOI： 10.1007/978-3-319-60642-2_14

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

This study moves toward improving digital textbooks by using line-of-sight to judge whether the reader is reading a text for the first time. We believe that this information can be used to provide more useful educational materials. For example, when reading a digital textbook a second (or subsequent) time, it might automatically summarize important points. Of the layouts examined, we found no gaze differences between the first and second readings with a screen vertically divided between text and figures. With a scrolling layout, there was a clearly observed difference between first and second readings, with shorter, fewer, and more narrowly focused gazes during the second reading.

DOI： 10.1007/978-3-319-60018-5_8

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

Conventional coordination suggestion systems do not consider the combined effect of the images of the individual items. In this research, we clarify the relationship between the image of tops and bottoms and their combinations. Using the semantic differential method, a questionnaire survey was conducted for images of tops, bottoms, and coordinates, and principal component analysis was performed. Multiple regression analysis for each of the principle components showed that all the correlation coefficients are low, and no linear relationship could be represented. On comparing the principal component scores, the influence of the bottoms image was observed to be significant in the first main component. The arrangement and combination method affected the image of coordinates in the case of conspicuous components, while the focus of the image changed depending on the object to be evaluated in the final component.

DOI： 10.1007/978-3-319-60495-4_21

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

In recent years, e-learning systems have been introduced and used at many educational institutions. However, because of difficulty in maintaining student motivation in classes that use these systems, e-learning systems for self-study may foster user dropout
more precisely, because users are isolated during self-study, they may be highly motivated to engage in e-learning initially, but this motivation may gradually decline over time. In this study, we introduce “Moti-Meter,” a system intended to support the maintenance of user motivation and avoid psychological reactance by enabling users to visualize their own motivation. Estimation of users’ motivation is done using regression analysis of data collected from non-invasive sensor devices, such as smartphones and wearable devices. Visualizing one’s motivation has potential for applications in a range of other fields as well, for instance in healthcare.

DOI： 10.1007/978-3-319-60639-2_12

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

In this study, we investigated the relationship between the timing of a relaxation stimulus and its effect on a participant performing intellectual work. Experiments using light and sound stimuli showed that the relaxation effect is weakened or becomes stressful when the stimulus is provided during the work period, as opposed to the beginning. In addition, we found a possible synergistic effect could be achieved by combining a light and sound stimulus.

DOI： 10.1007/978-3-319-60495-4_46

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

Recently, methods for motivating people who do not have an exercise habit have been attracting public attention, because lifestyle-related diseases are becoming a serious issue. While few people possess such a habit, frequent physical exercise is necessary in order to prevent lifestyle-related diseases. To address this issue, it is important to increase motivation for physical exercise. Yet, effective methods for creating this motivation have not been established. This research aims to clarify effective methods for motivating people who lack an exercise habit. We focus on the sense of value for physical exercise, and its use for motivation. The study results succeeded in increasing the amount of physical exercise completed by the subjects.

DOI： 10.1007/978-3-319-60495-4_25

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

Power shortage has become a perennial problem in Japan after the Great East Japan Earthquake. Energy saving measures adopted to deal with this situation have prompted worker complaints about the cold and consequent lack of concentration. In this study, we propose a way to change the perceivable temperature using a psychological approach rather than adjusting the physical temperature alone. Experimental evaluations confirm the effect of color and sound stimulation on thermal sensation. Participants indicated an increase in the perception of warmth when provided with a stimulus reminiscent of stove operation.

DOI： 10.1007/978-3-319-60495-4_24

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

Using decision trees, we investigated the relationship between stress condition and the nutrients contained in the consumed foods during the stress condition. The objective of this study is to develop a prospective dish recommendation system. Some explicit analyses of the nutrients preferred by people with high stress condition were performed. Thus, we were able to find the possibility of a dish recommending system based on nutrients and stress level.

DOI： 10.1007/978-3-319-60495-4_40

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

Conventionally, methods to investigate preference decisions, such as questionnaires and interviews, are used for estimating consumer preferences. However, there are many uncertainties in human decision-making, and the reasons for decision-making provided by respondents are not necessarily consistent with their original reasons. In recent years, neuro-marketing, which measures the brain’s reactions and explores the process of consumers’ preference judgment, has attracted attention. Through neuro-marketing, it is possible to estimate preference based on brain activity, which is not based on the con-sumers’ conscious processing. As a result, potential preferences of consumers are clarified
these are expected to be useful for marketing research on newly marketed products and for development of new products. In this study, we reveal that there are changes in blood flow in the prefrontal cortex while viewing things of interest.

DOI： 10.1007/978-3-319-60495-4_22

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

In this study, we analyze the influence of the tone of agents’ product recommendations on buyers’ purchase motivation. The findings would help agents make more effective product recommendations. In this experiment, we used a simulated e-commerce website to elicit buyers’ purchase behavior. Regarding tone of voice, I focused on intellectuality and friendliness, and made a tone of four patterns. As a result, it became clear that intellectual � friendly tone has a positive influence on purchasing motivation.

DOI： 10.1007/978-3-319-60495-4_23

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

We investigated impressions of a color scheme can be expressed with nouns or adjectives, and whether nouns (associated with colors) or adjectives (expressing the impression of colors) are recalled first. We used two-color arrangements comprising red, yellow, orange, green, blue, purple, black and white, from which we prepared 64 pattern combinations. Participants were 20 Japanese college students with normal visual acuity and color vision. Each two-color scheme was presented, and participants were asked to orally respond. Analysis of variance revealed that the total number of nouns produced in this task was significantly larger than the total number of adjectives (p &lt
.05). Additionally, significantly more nouns were answered first (p &lt
.05). Analyses of whether adjectives or nouns were recalled or recalled earlier revealed that nouns are more likely to be recalled than adjectives. There were no significant differences based on the different colors, except in the case of purple.

DOI： 10.1007/978-3-319-60495-4_45

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

This study aims to investigate whether the exercise induced changes in the heart rate influences the musical preference of an individual. We believe that an individual’s musical preference while exercising is different from that while resting. If this idea is correct, it is necessary to reproduce the music according to the situation and state of the user, not random. It is not clear what influences the change in the musical preference. It is also unclear which musical features are preferred during exercise. Moreover, the heart rate changes due to stress, exercise, and excitement. Several studies have explored the relationship between heart rate and music. In this research, we report (1) how exercise-induced change in the heart rate influences the musical preference, and (2) which musical features influence an individual’s preference of music under specific heart rates.

DOI： 10.1007/978-3-319-60495-4_49

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DOI： 10.1007/978-3-319-39513-5_48

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER INT PUBLISHING AG  

We have developed an auto annotating system. To apply to the system, we conducted experiments about the method to evaluate difficulty of technical terms in documents by using data of Wikipedia. Based on a hypothesis that basic and easy terms appear frequently in Wikipedia, we surveyed relationship between subjective difficulty and appearance frequency in Wikipedia. As a result, we could classify technical terms into the easy term and the difficult term at the accuracy of 0.70.

DOI： 10.1007/978-3-319-40397-7_8

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© Springer International Publishing Switzerland 2016. Each person has his own personal feature which includes physical, physiological, psychological and cognitive characteristics. Kansei, i.e., affection, is a mechanism which characterizes each person’s mental and behavioral processes interacting with the world. In this mechanism, multimedia and multimodal information from other people, objects and environment are received physically and physiologically through the five senses related to his age, gender and body conditions. The information is interpreted subjectively to its psychological and cognitive images associated with his personal preference, experiences, knowledge and cultural background. Some decisions are made based on his purpose of actions and his lifestyle. Then, specific behaviors, such as verbal and non-verbal responses, are activated and shown to the other people, objects and environment. “Kansei” is an important perspective for understanding personal preferences and giving suitable assistance to each person. This perspective is supported by the human-centered science and technology of “kansei engineering.” This paper proposes the framework of Kansei modeling through unconscious behavior in interaction in living space to provide safe and stress-free living space.

DOI： 10.1007/978-3-319-40093-8_56

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER INT PUBLISHING AG  

Websites of home-interior brands display many photographs of products that include walls, floors, and furniture. Such photographs, known as image photographs, contain a lot of information about the brand image because the colors of walls, floors, and furniture in a photograph influence the brand image. This paper proposes a method of extracting representative colors of interior photographs by using a hierarchical clustering algorithm and analyzes the characteristics and differences of interior brands with color features. Our proposed method can be used to describe the common characteristics of interior image photographs and differences between eight interior brands (Ralph Lauren Home, Herman Miller, arflex, Cassina, Carl Hansen and Son, IKEA, Karimoku and Nitori). We measure the similarity or difference between brand images by constructing a brand image space with clusters of representative colors and obtain the relationship between six brand images.

DOI： 10.1007/978-3-319-40349-6_18

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It is necessary to provide suitable assistance to each consumer in shopping to choose preferable commodities. Each consumer does shopping with checking dominant features of the commodities according to his own criteria [1]. For example, "I want a cloth of a good material", "I want a T-shirt in cool color", and so on. We have developed an experimental shopping space equipped with ubiquitous sensors such as cameras and RFID-tag readers. In our experiment, each subject freely walked around the shelves to find the preferable T-shirts. Our system observed typically the time of three actions, "Look at", "Touch" and "Take" a T-shirt. In this study, we have tried to estimate the dominant features with each consumer through suggest the approach to recommend information in consideration of personal dominant features from observation and analysis of shopping behavior to perform suitable assistance. © Springer-Verlag Berlin Heidelberg 2013.

DOI： 10.1007/978-3-642-39473-7_148

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

Consumers feel heavy burden to find products suited individual preferences owing to large quantity of them on the Web. Therefore, it is necessary to classify products based on subjective preferences. This paper describes the method to model the relationship between subjective visual impressions and objective graphical features through machine learning for each user. The way to describe the visual impression is to use adjectives used by the professional photographers. As graphical feature vectors, we compute Lab color histogram and SURF from product photos. We estimate the subjective visual impression of products and classify them by constructing classifiers for the impression groups using Random Forests. As a result of the experiment, the proposed method achieved 80.1% accuracy on average. © Springer-Verlag Berlin Heidelberg 2013.

DOI： 10.1007/978-3-642-39473-7_140

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When customers receive recommended information through digital signage, it is important not only to choose suitable commodities matching each customer's preferences, but also to choose suitable information media to express their features. This paper proposes a method to estimate their preferences on information media by measuring brain activity. First step in order to achieve our final goal, we disclose that there are significant differences in brain activity in case subjects receive recommended information. The result of analysis shows there are significant differences in brain activity, especially visual cortex and language area. © 2013 Springer-Verlag.

DOI： 10.1007/978-3-642-39342-6_45

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Brain activities have been investigated, and various functions of brain have been revealed recently. In our experiment, decrease of oxy-Hb change at frontal cortex was observed while subjects were watching video contents. Also, the degrees of decreases were different among the subjective evaluations about impression against the video contents. Revealing the cause of the decrease has the possibility to evaluate video content objectively. In this paper we discuss the relationship between subjective evaluation and brain activity on video content. © 2013 Springer-Verlag Berlin Heidelberg.

DOI： 10.1007/978-3-642-39454-6_49

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

Human beings are often strongly impressed by a grand view, relaxed by a favorite music, upset to inflexible computers, and convinced, or not, to our friends talk. Kansei, i.e., affection, is a mechanism responsible for each person's cognitive process of the world. This mechanism subjectively accepts and interprets multimedia and multimodal information from other people, objects, and environment. It uses this subjective view as the basis for the person's action. "Kansei" is an important perspective for realizing manufacturing and information service to attract each individual consumer. This perspective is supported by the human-centered science and technology of "kansei engineering," or affective engineering. This paper proposes the framework of Kansei modeling through unconscious interaction with electronic gadgets.

DOI： 10.1109/ICBAKE.2013.88

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In our former research, customer's preference has been estimated by passive observation of shopping behavior, e.g. customer's "look" and "touch". It takes much time to understand their preferences form the log. We need quickly to build up the preference model to perform suitable recommendation for a new customer. For this reason, we will propose an active observation mechanism that detects customer's unforced natural behavior to information through ambient devices such as speakers and electric displays. This mechanism also analyzes customer's preference on features and their values of commodities, which enables the system to estimate the rate of preference to an unknown product. We have experimented on ten university students. We had them evaluate the thirty-six Shirts. We used these evaluations for precision evaluations in naive Bayes classifier. We used the leave-one-out cross-validation. As the result, we have achieved the average precision in the estimating preferences by naive Bayes classifier is 71%. © 2013 Springer-Verlag.

DOI： 10.1007/978-3-642-39265-8_52

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

Ubiquitous, mobile and wearable networks unified on the internet are rapidly promoted and introduced into our daily living sphere. That means people, unfamiliar to information technology and human computer interaction issue, are becoming a large part of the users of the unified information environment. Thus we need a new concept of information environment design which does not force a person to have and use any computer skills. Such an information environment would provide modest and human friendly manner for users including elderly people.
This paper introduces a concept of Kansei modeling from the aspects of users' needs in information service. To show its attractive facilities, this paper describes the state of the art of our studies on personal information assistance service in a smart space, such as ubiquitous and wearable environment with robotic information processing mechanism.

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Large datasets are generally required for machine learning. In order to improve the efficiency of the system, our team proposes a new Kansei modeling method, which requires users to collect only a small dataset. Using our method, the small datasets can search and collect large datasets classified in detail. As a result, our method creates the well-tuned Kansei model only from small datasets without the trouble of collecting many datasets. © 2011 Springer-Verlag.

DOI： 10.1007/978-3-642-22098-2_121

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Natural surfaces has a different materials, human can instantly feel these characteristics. For example, display of fruit on the supermarket shelves, we can determine only the eyes whether they are fresh. When shopping, we can quickly determine the quality of material goods, as well as light and heavy, soft and hard, and so on. We call this feeling "SITUKAN", it is Japanese and means sense of materials. © 2011 Springer-Verlag.

DOI： 10.1007/978-3-642-22095-1_74

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Authors aim to show the similarity and difference of sensibility effect when human listen to the music. For concrete example, we assume the music recommendation services. To propose the music that users really want, we use the image words that users feel for the music, and retrieve and propose the music based on the similarity of the image word. We intend to propose the music that users really want based on Kansei engineering. We make the Hierarchical model of Kansei. This model shows that human have the 4 processes when listen the music. Feature parameters are physical frequency data with physiological process. These parameters make us possible to represent how human listen the music. In next step, we represent how human feel for the music. These representations help users possible to retrieve the music really want. For representation of human feelings, we use image words and subjective estimation. © 2011 Springer-Verlag.

DOI： 10.1007/978-3-642-21793-7_69

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

This paper presents a smart store that estimates a preference of consumers concerning products from their behaviors. This paper proposes a method, which is a passive observation and an active observation, to observe two behaviors, direct behaviors and indirect behaviors. The passive observation is a method to observe direct behaviors of customers towards real products through ambient sensors. The active observation is a method to observe indirect behaviors of customers towards information of products through ambient displays. This study explains a purchase experiment using a prototype smart store that has installed the ambient shelves and displays. This study estimates the favorite clothes from their direct and indirect behavior using the smart store. The result of estimation of preference shows that accuracy rate is 87% by leave-one-out cross-validation.

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：第12回日本感性工学会大会  

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DOI： 10.11371/iieej.39.924

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In this research, we analyze how the Sound and Music relate to humans from the aspect of Kansei engineering. We analyze what features of the sound humans pay attention and how humans interpret sound. Therefore, we divide the signal processing of sound that humans do into lour levels. At the physiological level, processing is done by the auditory characteristic. In this level, humans don't interpret the image of the Sound yet. There is no Subjectivity for the sound. By using auditory characteristic, we investigate the features which help in the case that Sound and music is analyzed. We consider that the processing at early stage of auditory nervous system is to extract the change in power, which is obtained from the segmentation of the sound-signals which is divided by band of the frequency and time interval, and its contrast. We also consider the Features obtained by that extractation. Moreover, in the cognitive level, we analyze the correlation of that features with the word of interpretation that humans do subjectively. By these modelings, we develop the method of retrieving the sound and Music that having the similarity, or having the image that is expressed by any subjective words.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

Consumers may take some specific behavior preference or favorite items to get more information, such as the material and the price, in shopping We have been developing a smart room to estimate their preference and favorite items through observation using ubiquitous sensors, such as RFID and Web cameras. We assumed the decision decision-making process in shopping as AIDMA rule, and detected specific behavior, which are "See", "Touch" and "Take", to estimate user's interest. We found that we can classify consumers by their behavior patterns of the times and duration of the behaviors. In our experiment we have tested twenty-eight subjects on twenty-four T-shirts. In the experiment, we got better precision ratio for each subjects on estimating preference and favorite items by discriminate analysis on his or her behavior log, and behavior patterns classification above.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We have been developing an experimental prototype system - Ubiquitous Shop Space, an application of personal information assistance in a shopping context, (1) to find items of users' interest and/or preferences through data observed from users' behaviors in a ubiquitous information environment, (2) to automatically build a user preference model, and (3) to apply the model and provide suitable information service in the real world. In this paper, we study personal behavior from a log file that has been recorded by RFID and camera sensors. Utilizing ubiquitous sensors, we apply three types of observation scopes to model each users preference. They are microscopic, mezzoscopic, and macroscopic observation scopes. We have proposed the behavior analysis, algorithms, and combines content-based and collaborative filtering to retrieve information. We provide consumer-friendly services which based on personal behavior log data. Our system can inject suitable and controlled messages to a user to build up his precise preference model without putting any stress on him.

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This paper discusses a modeling technique for visual kansei (visual impression), which differs depending on the individual user. The visual impression is considered at two levels, the impression at the physiological level, which does not differ much between individuals, and the impression at the psychological level, which differs according to the individual's knowledge and experience. The modeling technique for the impression at the physiological level is considered as follows. The image feature parameters simulating the feature extraction mechanism of the visual perception process are defined and are extracted from the image. A hierarchical classification of the database simulating the human intuitive image classification process, image structure estimation using MDL, and discrimination analysis are combined to produce a modeling technique for the impression at the psychological level. After combining the modeling techniques at the physiological and psychological levels, the method is applied to a similar image retrieval system. © 2007 Wiley Periodicals, Inc.

DOI： 10.1002/scj.20400

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This study has improved the previously proposed models for creation and consensus building processes to propose a process model for cooperative work involving concept sharing. In addition, it has built a system called "MochiFlash" to support the cooperative work process. MochiFlash allows the user to visualize their own concept as an image map through the placement of objects, such as keywords and figures, onto a two-dimensional map. In the cooperative work involving concept sharing with MochiFlash, the users understand each other's concept through communication via their image maps and repeat negotiations among them to reach an agreement. Through a case study using picture book creation as an example, the authors have found that MochiFlash is effective in supporting cooperative work involving concept sharing and that the effective usage pattern depends on the degree of intimacy between the users.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

Human thinking may vary according to the situation. Consequently, the requirements also change according to the situation. In everyday life, we find some requirements are changeable such as: cuisine, refreshment. Some requirements are not changeable such as: type of book, movies genre. Furthermore, people often make choices not only based on their personal preference but also opinions or choices of other people such as their companion. From various requirements, we need a service that can provide desired information for the user depending on the prevailing situation on each occasion. In this paper, we have proposed information service adapted to three dimensions of the user requirements which are temporal: short term and long term preference, dynamic: dynamic and static preference, and social preference: the user and companion preference. This study also creates rules, algorithm to this service.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

This paper has proposed a shopping assistance service. We provide consumer-ftiendly services which based on personal behavior log data. The consumer-friendly services are information service which display through a monitor, robot, sound and music that can attract new consumer. In this paper, we study personal behavior from a log file that has been recorded by RFID and camera sensors in the ubiquitous environment. Utilizing ubiquitous sensors, we apply three types of observation scopes to model each user's preference. They are microscopic, mezzoscopic, and macroscopic observation scopes. We have proposed the behavior analysis, algorithms and collaborative filtering to retrieve information. Finally, we will also propose a ubiquitous shop space experiment.

DOI： 10.1109/APSCC.2007.50

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

This paper proposes a ubiquitous environment store, which is composed of cameras, sensors and displays, for supporting decision concerning commodities based on each customer's shopping interest. This store suggests that three analyzing views can be utilized to analyse relations between customers' interests and their behaviours towards commodities. This store collects data on the behaviour of each customer, who has agreed to be observed, and makes individual models, by analyzing collected data. This store also provides commodity information, which is decided by the individual's model, to each customer through a display, which is in front of this customer. Comparing this system to a non-system through a purchase experiment of clothes shows this effectiveness of this system.

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG  

The most of conventional information services are based on the implicit premise that the users has already defined their desired information. This study proposes a mobile information service that allows the users who have not yet defined their desired information or whose desired information varies according to the situation to get appropriate information. When the user can specify their desired information to the system explicitly, the authors develop a "Pull" service. Conversely, when the user cannot verbally specify their desired information to the system, this study provides "Push" service and "Don't disturb" option for the user who does not welcome this service. This study considers the.characteristics of the environment of mobile terminal to focus on "Time", "Place" and user's "Preference": long term and short term preference. This study also creates rules, algorithms and filtering to the service. Furthermore, the results of experiments have been discussed to verify the idea that different of user desired requires different information services.

DOI： 10.1093/ietisy/e89-d.6.1868

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

This paper proposes an association method between image contents and their impression words for content-based image retrieval. Currently most of the image retrieval systems are based on ambiguous index terms assigned by the indexer or contents creator. Important issues are to improve the appropriateness and to reduce the effort of assigning the index terms. In this paper, we propose an analysis method of the relations between the content and the impression words (e.g. "fresh", "natural", "pop") given by the professional photographers, and applying them to automatic image classification system based on visual impression. In our method, according to visual impressions, a user classifies training examples into some groups labeled with impression words (impression group). Commercial photographs giving us similar impressions have typical arrangement patterns of objects. By applying clustering method based on minimum description length principle, we estimated a composition common to the photographs giving us similar impressions. To each region of the estimated composition, by constructing classifiers for the impression groups using SVM, and integrating the outputs of the classifiers using region importance factor, we have achieved 70 to 80% recognition ratio, 10% better than the method without composition analysis.

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Language：English   Publishing type：Research paper (international conference proceedings)  

This study proposes a mobile information service that allows the users who have not yet defined their desired information or whose desired information varies according to the situation to get appropriate information. When the user can specify their desired information to the system explicitly, we develop a "Pull" service. Conversely, when the user cannot verbally specify their desired information to the system, we provide "Push" service and "Don't disturb" option for the user who does not welcome this service. We consider the characteristics of the environment of mobile terminal to focus on "Time", "Place" and user's " Preference": long term and short term preference. We also creates rules, algorithms and filtering to this service. Furthermore, the results of experiments verify the idea that different of user desired requires different information services. © 2006 IEEE.

DOI： 10.1109/MDM.2006.8

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：SPRINGER-VERLAG BERLIN  

In this study, we have developed an interactive system called Mochi that effectively prompts users to visualize their concepts on 2D maps. We analyzed the process of concept sharing, in which two users initially had vague concept on career design and then gradually clarified it in the course of interaction. This paper discusses the effectiveness of the system in facilitating adjustment of communication gap between users in the domain of career designing.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

This study proposes a mobile information service adapted to users requirements that allows the users who have not Yet defined their desired information or whose desired information varies according to the situation to get appropriate information. When the user can specify their desired information to the system explicitly, we develop a "Pull" service. Conversely, when the user cannot verbally specify their desired information to the system, we provide "Push" service and "Don't disturb" option for the user who does not welcome this service. We consider the characteristics of the environment of mobile terminal to focus on "Time", "Place" and users "Preference": long term and short term preference. We also create rules, algorithms and filtering to this service. Furthermore, the results of experiments verify the idea that different of user desired requires different information services.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

Recently, it has become difficult for consumers to find items of interest because there is such a vast range of items in the modern world. Consumers search the internet or use information devices in a shop to find their desired item in this information society. However, consumers with an unclear idea about what they want or consumers who are weak at using devices have difficulty finding the item they desire, quickly and easily. Therefore a system is needed that provides information regarding items of clear or spontaneous interest to consumers without demanding an unreasonable amount of time from the consumer. This paper proposes a framework of individual interest modelling used to provide information to consumer and support consumer purchases in a store using ubiquitous devices, such as cameras, sensors and displays. This framework shows a modelling mechanism concerning individual interest in items based on data collected through ubiquitous devices. This framework offers the suggestion that three observation views, Micro, Mezzo and Macro, can be utilized to look at human actions towards items of interest in a store through ubiquitous devices. This paper also describes a personalized shopping store using this framework to create a human friendly environment.

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Language：English   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electronics, Information and Communication, Engineers, IEICE  

Nowadays more people have started using their mobile phone to access information they need from anywhere at anytime. In advanced mobile technology, Location Service allows users to quickly pinpoint their location as well as makes a recommendation to fascinating events. However, users desire more appropriate recommendation services. In other words, the message service should push a message at a proper place in time. In consequence, customers obtain a higher level of satisfaction. In this paper, we propose a framework of time, place, purpose and personal profile based recommendation service. We illustrate scenarios in "push", "pull" and "don't disturb" services, where our DB queries can recommend the relevant message to users. The three factors: time, place and purpose are mutually dependent and the basic rules to analyze the essential data are summarized. We also create algorithms for DB query. We are filtering messages by one important factor: personal profile such as user's preference and degree of preference. Furthermore, we discuss an implementation of the prototype system, including results of experimental evaluation. Copyright © 2005 The Institute of Electronics, Information and Communication Engineers.

DOI： 10.1093/ietisy/e88-d.5.938

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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DOI： 10.1109/CW.2004.3

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

Nowadays more people have started using mobile phone to access information they need from anywhere at anytime. In advanced mobile technology, Location Service lets users quickly pinpoint their location. However, we believe it has other factors to achieve more efficient service. In this paper, we propose the relationship between 3 factors which are time, place and purpose. In consequence, we have summarized the basic rules to analyze essential data and algorithms to query processing. Furthermore, we are filtering the message with one more factor is personal profile. We also illustrate scenarios in different event, which our query processing can be recommended to push the appropriate message to users.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We proposed a software platform for developing subjective similarity image retrieval systems that provide information to individual users suitable for our subjective interpretation process to contents, such as art, scenery, etc. Our platform has three mechanisms: (1) A mechanism for performing a system synthesis by combining modelling algorithms of subjective interpretation process (2) A mechanism for managing created application systems, algorithms and data that are contents, individual profile and individual's interpretation teaching data to images, by semi-structured data model and database (3) A mechanism for operating the platform through commands for developing and managing application systems in a uniform manner. We applied many image formats and a VRML format to the platform. We inserted algorithms of statistical analysis and content's features calculation into the platform. We developed different types of application system on platform. We have only to choose and combine algorithms on the platform to develop application systems with less effort.

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publisher：日本感性工学会感性工房部会  

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Language：Japanese   Publisher：日本感性工学会感性工房部会  

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Language：Japanese   Publisher：日本感性工学会感性工房部会  

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Language：Japanese   Publisher：日本感性工学会感性工房部会  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

Current BtoC recommendation services utilize consumers' purchased log as criteria for selecting information, yet it includes little information of the reason why he bought the items. Thus it is difficult to recommend the suitable information for each consumer.
We have observed how each consumer judges his likes and dislikes on objects viewing them. We have modeled each consumer's evaluation process by relationships among physical features of objects, each consumer's subjective interpretations and preferences. Thus, based on the models, our system can estimate users' subjective evaluations and preferences from physical features of objects to perform a suitable recommendation.
We have also build situated preference models according to the usage of the items. The recommendation system refers such situated preference models together with the subjective evaluation model as the consumer's decision-making model for selecting objects.

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：日本データベース学会  

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Language：English   Publisher：KANSEI2001  

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Language：English   Publishing type：Research paper (scientific journal)  

It has hitherto been difficult to treat landscape images in a database, since their physical characteristics have been described empirically. This paper analyzes the correlation between the physical characteristics (colors, including their brightness, directions, and positions) and their associated adjectives, so that a landscape image can be modeled by using the adjectives. As a result, landscape images can be evaluated automatically, and an unknown landscape image can be retrieved and evaluated. Experiments have been carried out to show the usefulness of the proposed method.

DOI： 10.1002/scj.1035

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：SPRINGER-VERLAG BERLIN  

Researchers in the field of Database Systems axe bound to expand database techniques beyond traditional areas, particularly to the realm of the web. With the growing importance of information technology in today's industry, new types of applications are appearing that require a broader understanding of information. Recently, many efforts have been made to understand and model the subjective factors that play an important role in our social life and communication so that they could be embedded into new information technologies. We propose here our framework for endowing a software agent with the capability to personalize itself to its user through interaction and perform tasks that involve subjective parameters. We describe K-DIME, a software prototype that can retrieve material from the Web on the basis of both objective and subjective features of the content. K-DIME allows users to create their own Kansei User Model. With its ability to bootstrap a new user model from the model of a user with similar profile, it significantly reduces the workload generally associated with an online learning phase. Continuous adaptation driven by specific patterns of interaction with the user enables K-DIME to cope with the intrinsic variability of subjective impressions. A working prototype has been implemented and applied in a scenario in which users axe asked to identify pictures they would like to display on a greeting card.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

This paper is written about a new edge detection method derived from a vision model that has proposed by the authors [8][9][10]. This model is quite sensitive to the abrupt changes of the image contrast and has unique characteristic to enhance less contrast regions and to inhibit relatively high and firm contrast regions on the target image. Consequently, the proposed method is insensitive to and not so much affected by illumination variance (light and shade in image) in comparison with the other conventional and known methods.
This paper also shows that any differential operator can be combined with this model. The authors' proposed method can change the characteristic of target operators and enhance their abilities. These modified operators will be robust against illumination variance and detect objects in detail. This paper shows the ability of the proposed method by showing some examples of the edge detection and making a comparison with the other differential operators and these edge detection results.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

With Internet taking an increasingly important place in our daily life (work, education, hobby), a huge amount of information is now available. We suggest that four points should be considered when developing new information retrieving systems: a) taking information in its entirety (interpretation), b)managing multimedia information in an integrated Rap c) reusing already available tools and d) tailoring information to single users. We propose here our framework for endowing a software agent with the capability to personalize itself to its users through interaction and perform tasks that involve subjective factors. We describe K-DIME, a software prototype that can retrieve material ii-om the Web on the basis of both objective and subjective features of the content. Being capable of bootstrapping a new user model from the model of a user with similar profile, K-DIME significantly reduces the workload generally associated with an online learning phase. Through continuous adaptation driven by specific patterns of interaction with the user, K-DIME can cope with the intrinsic variability of subjective impressions. We discuss its performance in a scenario in which users retrieve pictures to be put on a greeting card according to a given subjective impression they wish to convey.

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEEE International Conference on Systems, Man and Cybernetics  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEEE International Conference on Systems, Man and Cybernetics(SMC' 99)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEEE International Conference on Systems, Man and Cybernetics  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEEE International Conference on Systems, Man and Cybernetics  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEEE  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：電子情報通信学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：電子情報通信学会  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

In this paper, we propose a computational model of adjusting color contrast and luminance contrast nonlinearly dynamically and adaptively based an the image content. It uses lateral inhibition mechanism and adaptation(light/dark, color)mechanisms, Our model can improve the appearance of an image naturally, both locally and globally at the same time. Our transformation shows a reverse-S-shape response, with the curvature being determined based on the context characteristics of each individual image. We demonstrate the performance by image enhancement experiments. It shows a good performance in not only luminance, bur also chromaticity. Our model and transformation can be applied to many fields, especially storing or repairing images of art or cultural heritage, because it can improve images preserving original subjective impression.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

The research discussed in this paper focuses on the emergence of a multimedia language for humans and technology to communicate highly subjective concepts (such as impressions, feelings, and emotions). Nowadays technology is not just a tool for realizing tasks, it also serves as a medium for people to communicate. For that reason, the issue of endowing computers with the ability to understand and communicate emotion has become crucial. But how can we give such a capability to a computer? And how can we transmit to a computer our emotion or our feelings. In this paper, we draw inspiration from human-human communication. Mutual understanding of emotional responses can be achieved through social interaction. We propose a dynamic interaction framework for understanding and communicating highly subjective concepts such as visual impressions. © 1999 IEEE.

DOI： 10.1109/ICIAP.1999.797723

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG WIEN  

User modeling is traditionally about constructing an explicit representation of the user. We argue against such approach because it overlooks the real nature of the human brain: plasticity and absence of monolithic control. Instead, we suggest to focus not on the modeling of the primary mechanism that explains a user's response but on the mechanisms through which technology can mediate as complex information as subjective responses. Indeed the only way two persons can reach mutual understanding over such responses is social interaction.
We propose a novel architecture based on three main components: (1) an elaborate sensory(motor) apparatus, (2) a dynamical memory and (3) an active interface with turn-taking capability. It supports the interactive emergence of a common symbolic language through which user and system can share subjective responses over visual perceptions. We assert that while the "user model" is not explicitly constructed, it reveals in the interactive dialog between the user and the machine.

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Language：English   Publisher：Methodologies for the Conception Design and Application of Soft Computing (Procs. Of IIZUKA'98)  

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Language：English   Publisher：BMFSA  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：計測自動制御学会  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Proc. Of 9th Int. Conf. Database and Expert Systems Applications  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：システム制御情報学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：筑波大学  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Computer Networks and ISDN Systems  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：映像メディア学会  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：OHMSHA LTD  

This paper describes a model of user's emotional aspects on visual art works. ART MUSEUM is our prototype system for advanced image database. It allows users to retrieve images from a database of impressionist paintings by using adjective words. The system learns the correlation between the feature of sample paintings and user's descriptions, and provides interactive and progressive learning mechanisms. We show the interesting experimental results on ART MUSEUM system.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

We propose a new lateral inhibition method for image enhancement which improves both color and brightness contrast. Our method deserves attention for trie following reasons: (1) it can adapt itself to the objective image automatically, (2) physiological and psychological behavior of early visual system has been considered and (3) it can affect locally and parallelly both the light region and dark region of the objective image. This method has been derived on the basis of our early vision system and modelized by a simple mathematical function which forms reverse-S shaped stimulus-response curve, and additionally, it can simulate lateral inhibition effects. Our model explains how the lateral inhibition mechanism with local and adaptive processing system realizes the robustness for various input images and detects objects from wide varieties of visual stimuli. The proposed method can make the maximum use of the lateral inhibition effects, perform mild and powerful image enhancement and improve image quality very naturally both at the light and dark regions.

DOI： 10.1007/BFb0016493

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

Today, the cyberspace provides the user with quantities of distributed multimedia information. Whereas adequate technical tools were developed that enable the user to actually access this database, information technology still lacks of plasticity to handle requests based on subjective parameters, i.e. non explicit requests. In human-human communication however such complex and variable information can be transmitted by words, even if the meaning associated varies from one actor to the other one. In this paper, we propose an experimental framework in which, through intensive interaction, the machine and the user develop a common language through which they can establish mutual understanding over visual perceptions. We describe the mechanisms underlying the development of this language and which allow the user to have full control, both functionally and structurally of the system.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：OHMSHA LTD  

Receptive fields in our vision mechanisms can be classified into positive type and negative type, the latter corresponds to the reverse of the former. For example, ON-center-OFF-surround receptive field is positive type, OFF-center-ON-surround receptive field corresponds to negative type. Such "duality" also can be found as color opponent type receptive fields which detect color contrast, but the neurophysiological meaning and functional inevitability of the duality of the receptive fields have not been elucidated. This paper explicates this duality from the view point of the lateral inhibition model. The proposed lateral inhibition model can be derived deductively from the idea that the positive type and the negative type of receptive fields detect the information on a positive image (a counterpart of photographic positive) and a negative image (a counterpart of photographic negative) respectively. The input-output characteristic mapping of our proposed model draws distinctive reverse-S shaped non-linear curve. This paper give the explanation for the theoretical basis and the functional principles of our model which can detect and enhance both brightness and RGB color contrasts of input images.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

To support the creation of good virtual world presentation, we need to retrieve polygon objects from databases. In conventional database systems, retrieval of polygonal data was based on only the features of the polygon. Unfortunately, such retrieval techniques do not consider the user's subjective measures. This paper illustrates the creation of multidimensional spaces based on subjective measures by analyzing the correlation between features of polygonal data using a multidimensional scaling method and regression analysis. Our techniques enable users to retrieve objects more efficiently by considering subjective measures.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

This paper introduces the image database system which can retrieve using impression words. ART MUSEUM (Multimedia Database with Sense of Color and Construction upon the Matter of ART) is our prototype system for advanced image database. It allows users to retrieve images from a database of impressionist paintings by using adjective words. The system learns the correlation between the feature of sample paintings and user's descriptions, and provides interactive and progressive learning mechanisms. We show the interesting experimental results on ART MUSEUM system.

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：ACM SIGCHI  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：バイオメカニズム学会  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Nanyang Technological Univ.  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Kyoto Univ.  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：電子技術総合研究所  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Int'l Federation of Classification Societies(IFCS)  

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Language：Japanese   Publisher：（財）関西情報センター  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：図書館情報大学  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：機械学会  

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Language：English   Publisher：東京大学+IEEE  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Electrotechnical Laboratory  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ELSEVIER SCIENCE PUBL B V  

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Language：English   Publisher：科学技術庁  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：International Association of Pattern Recognition(IAPR)  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報科学技術協会  

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Language：English   Publisher：Sophia Institute of Technology  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Univ. of Glasgow+British Computer Society(BCS)  

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Other Link： http://id.nii.ac.jp/1001/00004500/

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPIE - INT SOC OPTICAL ENGINEERING  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：I E E E, COMPUTER SOC PRESS  

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Language：English   Publisher：New Mexico State Univ. (NMSU) + NSF  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：可視化情報会  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会+IEEE  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：ACM+National Univ. of Singapore  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：（財）パーソナル環境情報技術協会（FRIEND21)  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：日本医用画像工学会  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：DEXA  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：システム制御情報学会  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：ACM  

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Language：English   Publisher：（財）関西情報センター  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：（財）情報処理相互運用技術協会(INTAP)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Electrotechnical Laboratory  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：テレビジョン学会  

DOI： 10.3169/itej1978.41.872

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Other Link： https://jlc.jst.go.jp/DN/JALC/00217290041?from=CiNii

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：電子技術総合研究所  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：電子通信学会  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：PERGAMON-ELSEVIER SCIENCE LTD  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：International Association of Pattern Recognition(IAPR)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：HICSS  

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Responsible for pages：124-131   Language：English   Book type：Scholarly book

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Responsible for pages：632-643   Language：English   Book type：Scholarly book

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J-GLOBAL

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J-GLOBAL

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Language：Japanese  

J-GLOBAL

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J-GLOBAL

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J-GLOBAL

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J-GLOBAL

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J-GLOBAL

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Language：Japanese   Publisher：人工知能学会  

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper introduces the basic concept of computational modeling of perception processes for multimedia data. Such processes are modeled as hierarchical inter- and tntra-relationships amongst imformation in physical, physiological, psychological and cognitive layers through perception. Based on our framework, this paper gives the outline algorithms for content-based retrieval for multimedia database systems;which are sketch retrieval, similarity retrieval and Kansei retrieval at physiological, psychological and cognitive layers, respectively. They are core algorithms in our experimental Kansei information processing systems, "Kansei Factory, "for collaborative industrial design support works. This paper also discusses technical issues in Kansei engineering for flexible framework and further applications.

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DOI： 10.1109/IECON.2000.972514

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(財)日本情報処理開発協会先端情報技術研究所  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(社)日本電子工業振興協会  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(財)イメージ情報科学研究所、新エネルギー・産業技術研究開発機構  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(社)日本電子工業振興協会  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(財)イメージ情報科学研究所、新エネルギー・産業技術研究開発機構  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(財)日本情報処理開発協会先端情報技術研究所  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(財)イメージ情報科学研究所、新エネルギー・産業技術研究開発機構  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：(財)日本情報処理開発協会先端情報技術研究所  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)   Publisher：（財）日本科学技術情報センター  

Visual interaction is one of the key technology for the advanced database system and its human interface. We have been developing the multimedia database system TRADEMARK. It provides the intelligent visual interaction by the use of the image recognition. This paper describes the method and the evaluation of the visual interaction in the TRADEMARK system ; (a) automatic indexing facility, (b) similarity retrieval by visual example and (c) multimedia presentation of retrieved data.

DOI： 10.1241/johokanri.32.193

CiNii Books

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Other Link： https://jlc.jst.go.jp/DN/JALC/00225155677?from=CiNii

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