Paper Title:
Key Frame Extraction Algorithm Based on Information Theory
  Abstract

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, 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
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Price
$32.00
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