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Proceedings Paper

To mine capture intention of camcorder users
Author(s): Tao Mei; Xian-Sheng Hua; He-Qin Zhou; Shipeng Li
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Paper Abstract

In this paper, we present a learning-based approach to mining the capture intention of camcorder users, aiming at providing a novel viewpoint in terms of home video content analysis. In contrast to existing approaches to video analysis designed from the viewers' standpoint, this approach models the capture intention from a camcorder user's point of view, by investigating a set of effective intention oriented features. With this approach, not only the capture intention is effectively mined, but also a set of intention probability curves are produced for efficient browsing of home video content. The experimental evaluations indicate that the intention based approach is an effective complement to existing home video content analysis schemes.

Paper Details

Date Published: 31 July 2006
PDF: 8 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59600T (31 July 2006); doi: 10.1117/12.631387
Show Author Affiliations
Tao Mei, Microsoft Research Asia (China)
Xian-Sheng Hua, Microsoft Research Asia (China)
He-Qin Zhou, Univ. of Science and Technology of China (China)
Shipeng Li, Microsoft Research Asia (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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