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Proceedings Paper

TV program skimming method using similarity of scene descriptions
Author(s): Ichiro Yamada; Hideki Sumiyoshi; Yeun-Bae Kim; Masahiro Shibata
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Paper Abstract

In a broadcasting station, it is important to establish an environment that facilitates the reuse of TV programs and legacy materials. Therefore it is necessary to build efficient video archives that allow for the accumulation of a large number of TV programs. A video skimming system is very useful because it helps us quickly grasp the contents of accumulated TV programs in video archives. In this paper, we propose a video skimming method based on information about a TV program, which have natural language annotations that describe the contents of TV programs. Using these annotations, we can generate skimmed TV programs by extracting representative video scenes. We performed a series of skimming experiments for TV programs, and obtained good results.

Paper Details

Date Published: 5 October 1998
PDF: 8 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325819
Show Author Affiliations
Ichiro Yamada, NHK Science and Technical Research Labs. (Japan)
Hideki Sumiyoshi, NHK Science and Technical Research Labs. (Japan)
Yeun-Bae Kim, NHK Science and Technical Research Labs. (Japan)
Masahiro Shibata, NHK Science and Technical Research Labs. (Japan)


Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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