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A Visual Attention Based Region-of-Interest Determination Framework for Video Sequences
Wen-Huang CHENG Wei-Ta CHU Ja-Ling WU
Publication
IEICE TRANSACTIONS on Information and Systems
Vol.E88-D
No.7
pp.1578-1586 Publication Date: 2005/07/01 Online ISSN:
DOI: 10.1093/ietisy/e88-d.7.1578 Print ISSN: 0916-8532 Type of Manuscript: Special Section PAPER (Special Section on Recent Advances in Circuits and Systems--Part 1) Category: Image Processing and Multimedia Systems Keyword: region-of-interest, video analysis, visual attention model, computational media aesthetics,
Full Text: PDF>>
Summary:
This paper presents a framework for automatic video region-of-interest determination based on visual attention model. We view this work as a preliminary step towards the solution of high-level semantic video analysis. Facing such a challenging issue, in this work, a set of attempts on using video attention features and knowledge of computational media aesthetics are made. The three types of visual attention features we used are intensity, color, and motion. Referring to aesthetic principles, these features are combined according to camera motion types on the basis of a new proposed video analysis unit, frame-segment. We conduct subjective experiments on several kinds of video data and demonstrate the effectiveness of the proposed framework.
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