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Proceedings Paper

Semantically controlled content-based retrieval of video sequences
Author(s): Giridharan Iyengar; Andrew B. Lippman
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Paper Abstract

In this paper, we present a technique for automatic classification of movies based on their content. This technique analyses shot duration and motion energy of movie trailers to characterize them as Action/Character movies. This approach is then combined with a features-based technique for content-based retrieval of video. Experiments indicate a high retrieval accuracy (greater than 96%) together with semantic-control (Action vs. Character) with this combined approach.

Paper Details

Date Published: 5 October 1998
PDF: 10 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325816
Show Author Affiliations
Giridharan Iyengar, MIT Media Lab. (United States)
Andrew B. Lippman, MIT Media Lab. (United States)

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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