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Proceedings Paper

Video segmentation and camera motion characterization using compressed data
Author(s): Ruggero Milanese; Frederic Deguillaume; Alain Jacot-Descombes
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Paper Abstract

We address the problem of automatically extracting visual indexes from videos, in order to provide sophisticated access methods to the contents of a video server. We focus on tow tasks, namely the decomposition of a video clip into uniform segments, and the characterization of each shot by camera motion parameters. For the first task we use a Bayesian classification approach to detecting scene cuts by analyzing motion vectors. For the second task a least- squares fitting procedure determines the pan/tilt/zoom camera parameters. In order to guarantee the highest processing speed, all techniques process and analyze directly MPEG-1 motion vectors, without need for video decompression. Experimental results are reported for a database of news video clips.

Paper Details

Date Published: 6 October 1997
PDF: 11 pages
Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); doi: 10.1117/12.290367
Show Author Affiliations
Ruggero Milanese, Univ. of Geneva (Switzerland)
Frederic Deguillaume, Univ. of Geneva (Switzerland)
Alain Jacot-Descombes, Univ. of Geneva (Switzerland)


Published in SPIE Proceedings Vol. 3229:
Multimedia Storage and Archiving Systems II
C.-C. Jay Kuo; Shih-Fu Chang; Venkat N. Gudivada, Editor(s)

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