Key Frame Extraction Algorithm Based on Information Theory

Abstract:

Article Preview

Key frames play a very important role in video indexing and retrieval. In this paper, we propose a novel method to extract key frames based on information theory. We use improved Bayesian Information Criterion to determining the number of key frames, and then automatically extract key frames to represent video shot based on information bottleneck cluster method. Experimental results and the comparisons with other methods on various types of video sequences show the effectiveness of the proposed method.

Info:

Periodical:

Advanced Materials Research (Volumes 129-131)

Edited by:

Xie Yi and Li Mi

Pages:

95-98

DOI:

10.4028/www.scientific.net/AMR.129-131.95

Citation:

Y. L. Xiao and S. P. Zhu, "Key Frame Extraction Algorithm Based on Information Theory", Advanced Materials Research, Vols. 129-131, pp. 95-98, 2010

Online since:

August 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.