Affective content detection using HMMs

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Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we perform empirical study on the relationship between emotional events and low-level features. After that, we compute simple low-level features that represent emotional characteristics and construct a token or observation vector by combining low level features. The observation vector sequence is tested to detect emotional events through HMMs. We create two HMM topologies and test both topologies. The affective events are detected from our proposed models with good accuracy. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: General Terms Algorithms Keywords Emotional event, Hidden Markov Models, Content analysis
Hang-Bong Kang
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where MM
Authors Hang-Bong Kang
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