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Video Clip Recognition Using Joint Audio-Visual Processing Model
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104477616th International Conference on Patt ...
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Victor Kulesh, Oakland University
Valery A. Petrushin, Accenture Technology Labs,
Ishwar K. Sethi, Oakland University
The automatic recognition of video clips is an important capability with applications in broadcast monitoring for content theft and adherence to advertisement campaign. In this paper, we present an approach for video clip recognition based on HMM and GMM for modeling video and audio streams respectively. The approach is used to model TV commercials. The recognition results of using single stream and joint models are compared. The error rate of 0.01% is achieved when the joint audio-visual processing model is employed.
Citation:
Victor Kulesh, Valery A. Petrushin, Ishwar K. Sethi, "Video Clip Recognition Using Joint Audio-Visual Processing Model," icpr, vol. 1, pp.10500, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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