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http://dx.doi.org/10.3745/KIPSTB.2004.11B.1.053

Representation and Detection of Video Shot s Features for Emotional Events  

Kang, Hang-Bong (가톨릭대학교 컴퓨터정보공학부)
Park, Hyun-Jae (가톨릭대학교 대학원 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartB / v.11B, no.1, 2004 , pp. 53-62 More about this Journal
Abstract
The processing of emotional information is very important in Human-Computer Interaction (HCI). In particular, it is very important in video information processing to deal with a user's affection. To handle emotional information, it is necessary to represent meaningful features and detect them efficiently. Even though it is not an easy task to detect emotional events from low level features such as colour and motion, it is possible to detect them if we use statistical analysis like Linear Discriminant Analysis (LDA). In this paper, we propose a representation scheme for emotion-related features and a defection method. We experiment with extracted features from video to detect emotional events and obtain desirable results.
Keywords
Motion-Related Feature Representation; Emotion-Related Feature Detection; LDA(Linear Discriminant Analysis);
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