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Journal Articles IEEE Transactions on Affective Computing Year : 2017

Affective Video Content Analysis: A Multidisciplinary Insight

Abstract

In our present society, the cinema has become one of the major forms of entertainment providing unlimited contexts of emotion elicitation for the emotional needs of human beings. Since emotions are universal and shape all aspects of our interpersonal and intellectual experience, they have proved to be a highly multidisciplinary research field, ranging from psychology, sociology, neuroscience, etc., to computer science. However, affective multimedia content analysis work from the computer science community benefits but little from the progress achieved in other research fields. In this paper, a multidisciplinary state-of-the-art for affective movie content analysis is given, in order to promote and encourage exchanges between researchers from a very wide range of fields. In contrast to other state-of-the-art papers on affective video content analysis, this work confronts the ideas and models of psychology, sociology, neuroscience, and computer science. The concepts of aesthetic emotions and emotion induction, as well as the different representations of emotions are introduced, based on psychological and sociological theories. Previous global and continuous affective video content analysis work, including video emotion recognition and violence detection, are also presented in order to point out the limitations of affective video content analysis work.
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Dates and versions

hal-01489729 , version 1 (14-03-2017)

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Yoann Baveye, Christel Chamaret, Emmanuel Dellandréa, Liming Chen. Affective Video Content Analysis: A Multidisciplinary Insight. IEEE Transactions on Affective Computing, 2017, ⟨10.1109/TAFFC.2017.2661284⟩. ⟨hal-01489729⟩
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