Title :
Hidden Markov model based video indexing with discrete cosine transform as a likelihood function
Author :
Kolekar, M.H. ; Sengupta, S.
Author_Institution :
Electron. & Electr. Commun. Eng. Dept., Indian Inst. of Technol., Kharagpur, India
Abstract :
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.
Keywords :
discrete cosine transforms; dynamic programming; hidden Markov models; image classification; image sequences; indexing; video signal processing; DC-DCT likelihood function; discrete cosine transform; dynamic programming; hidden Markov model; video classification; video indexing; video sequence; video shot detection; Digital images; Discrete cosine transforms; Dynamic programming; Gunshot detection systems; Hidden Markov models; Image databases; Indexing; Robustness; Software libraries; Video sequences;
Conference_Titel :
India Annual Conference, 2004. Proceedings of the IEEE INDICON 2004. First
Print_ISBN :
0-7803-8909-3
DOI :
10.1109/INDICO.2004.1497728
