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Proceedings Paper

Camera attention weighted strategy for video shot grouping
Author(s): Fan Jiang; Yu-Jin Zhang
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Paper Abstract

Video shot clustering based on visual feature extraction is an important and challenging task in video browsing and retrieval systems. We propose in this paper a novel method for video shot grouping directly processed in MPEG domain. This method places emphasis on extracting shot features in a way that reflects viewer's actual visual perception. In particular, a spatio-temporal human attention model is constructed. Spatially, each frame is split into two areas, attention region and background, indicating two independent parts of viewer's attention: interest of a dominant motive region and a global impression of the surroundings. Temporally, a weighted color histogram is used to emulate human attention affected by camera motion. With this camera attention weighted strategy, a set of shot similarity measures are constructed. Shot grouping based on these similarities achieve promising results in our experiments on MPEG-7 test videos.

Paper Details

Date Published: 24 June 2005
PDF: 9 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59601A (24 June 2005); doi: 10.1117/12.631563
Show Author Affiliations
Fan Jiang, Tsinghua Univ. (China)
Yu-Jin Zhang, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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