By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kolekar, M.H. ; Electron. & Electr. Commun. Eng. Dept., Indian Inst. of Technol., Kharagpur, India ; Sengupta, S.

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.

Published in:

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

Date of Conference:

20-22 Dec. 2004