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A new semantic based video scene detection technology is proposed to improve the effectiveness of video retrieval. In this study, we proposed a framework for constructing semantic audiovisual features for detecting human action. Two major components, including multimodality features and matching process, are discussed and their corresponding algorithms are presented. A pilot evaluation was conducted...
This paper presents a method which able to integrate audio and visual information for action scene analysis in any movie. The approach is top-down for determining and extract action scenes in video by analyzing both audio and video data. In this paper, we directly modelled the hierarchy and shared structures of human behaviours, and we present a framework of the hidden Markov model based application...
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