Hidden Markov model based video indexing with discrete cosine transform as a likelihood function

In this paper, we have proposed discrete cosine transform (DCT) as a likelihood function for video shot detection and classification using hidden Markov model and experimentally observed that only DC coefficient of DCT performs better with heavily reducing computational burden. Results of DC-DCT lik...

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Bibliographic Details
Published inProceedings of the IEEE INDICON 2004. First India Annual Conference, 2004 pp. 157 - 159
Main Authors Kolekar, M.H., Sengupta, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Digital images
Discrete cosine transforms
Dynamic programming
Gunshot detection systems
Hidden Markov models
Image databases
Indexing
Robustness
Software libraries
Video sequences
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Summary:In this paper, we have proposed discrete cosine transform (DCT) as a likelihood function for video shot detection and classification using hidden Markov model and experimentally observed that only DC coefficient of DCT performs better with heavily reducing computational burden. Results of DC-DCT likelihood function are presented and found encouraging.
ISBN:0780389093
9780780389090
DOI:10.1109/INDICO.2004.1497728