Camera attention weighted strategy for video shot grouping

Fan Jiang; Yu-Jin Zhang

doi:10.1117/12.631563

24 June 2005 Camera attention weighted strategy for video shot grouping

Fan Jiang, Yu-Jin Zhang

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59601A (2005) https://doi.org/10.1117/12.631563
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

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.

Citation Download Citation

Fan Jiang and Yu-Jin Zhang "Camera attention weighted strategy for video shot grouping", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59601A (24 June 2005); https://doi.org/10.1117/12.631563

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