Emotion semantics image retrieval: an brief overview

Authors:
Shangfei Wang;Xufa Wang
Affiliations:
University of Science and Technology of China, Hefei, Anhui, P.R. China;University of Science and Technology of China, Hefei, Anhui, P.R. China
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

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Abstract

Emotion is the most abstract semantic structure of images. This paper overviews recent research on emotion semantics image retrieval. First, the paper introduces the general frame of emotion semantics image retrieval and points out the four main research issues: to exact sensitive features from images, to define users’ emotion information, to build emotion user model and to individualize the user model. Then several algorithms to solve these four issues are analyzed in detail. After that, some future research topics, including construction of an emotion database, evaluation of the user model and computation of the user model, are discussed, and some resolved strategies are presented elementarily.