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

fYear

2004

fDate

20-22 Dec. 2004

Firstpage

157

Lastpage

159

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;

fLanguage

English

Publisher

ieee

Conference_Titel

India Annual Conference, 2004. Proceedings of the IEEE INDICON 2004. First

Print_ISBN

0-7803-8909-3

Type

conf

DOI

10.1109/INDICO.2004.1497728

Filename

1497728

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1808494