Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2008.06a
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- Pages.683-688
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- 2008
An Emotion-based Image Retrieval System by Using Fuzzy Integral with Relevance Feedback
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Lee, Joon-Whoan
(Division of Electronics & Information Engineering, Chonbuk National University) ;
- Zhang, Lei (Division of Electronics & Information Engineering, Chonbuk National University) ;
- Park, Eun-Jong (Division of Electronics & Information Engineering, Chonbuk National University)
- Published : 2008.06.18
Abstract
The emotional information processing is to simulate and recognize human sensibility, sensuality or emotion, to realize natural and harmonious human-machine interface. This paper proposes an emotion-based image retrieval method. In this method, user can choose a linguistic query among some emotional adjectives. Then the system shows some corresponding representative images that are pre-evaluated by experts. Again the user can select a representative one among the representative images to initiate traditional content-based image retrieval (CBIR). By this proposed method any CBIR can be easily expanded as emotion-based image retrieval. In CBIR of our system, we use several color and texture visual descriptors recommended by MPEG-7. We also propose a fuzzy similarity measure based on Choquet integral in the CBIR system. For the communication between system and user, a relevance feedback mechanism is used to represent human subjectivity in image retrieval. This can improve the performance of image retrieval, and also satisfy the user's individual preference.