Paper
5 October 1998 Semantically controlled content-based retrieval of video sequences
Giridharan Iyengar, Andrew B. Lippman
Author Affiliations +
Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325816
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giridharan Iyengar and Andrew B. Lippman "Semantically controlled content-based retrieval of video sequences", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325816
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Cited by 4 scholarly publications.
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KEYWORDS
Video

Feature extraction

Databases

Semantic video

Visualization

Optical flow

Motion analysis

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