With rapid adoption of consumer digital video recorders and increase of home video data, content analysis has become an interesting and key research issue to provide personalized experiences and services for both camcorder users and viewers. This paper presents a novel view to tackle this issue, which aims at modeling and mining of the capture intention of camcorder users. Based on the study of intention mechanism in psychology, a set of domain-specific capture intention concepts is defined. A comprehensive and extensible scheme consisting of video structure decomposition, intention oriented feature analysis, as well as SVD-based intention segmentation and learning-based intention classification is proposed to mine the users' capture intention.
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