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Paper
1 January 2001 Discovering video structure using the pseudosemantic trace
Author Affiliations +
Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410970
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
In this paper, we describe a framework of analyzing programs belonging to different TV program genres Hidden Markov Models and pseudo-semantic feature s derived from video shots. Clustering using Gaussian mixture models is used to determine the order of the modes. Results for initial genre classification experiments using two simple features derived from video shots are given.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cuneyt M. Taskiran, Charles A. Bouman, and Edward J. Delp III "Discovering video structure using the pseudosemantic trace", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410970
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Video

Databases

Video processing

Expectation maximization algorithms

Feature extraction

Motion models

Semantic video

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