Video Parsing, Retrieval and Browsing: An Integrated and Content-Based Solution
H.J. Zhang, C.Y. Low, S.W. Smoliar and J.H. Wu, Institute of Systems Science, National University of Singapore, Heng Mui Keng Terrace, Kent Ridge, Singapore 0511, Republic of Singapore, +65 772-6725. E-mail address: zhj@iss.nus.sg
ABSTRACT
This paper presents an integrated solution for computer assisted video parsing and content-based video retrieval and browsing. The uniqueness and effectiveness of this solution lies in its use of video content information provided by a parsing process driven by visual feature analysis. More specifically, parsing will temporally segment and abstract a video source, based on low-level image analyses; then retrieval and browsing ...
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