DocumentCode :
2988073
Title :
An Approach of Key Frame Extraction Based on Mutual Information
Author :
Huang, Lan-ying
Author_Institution :
Dept. of Comput. Sci., Xiaogan Univ., Xiaogan, China
fYear :
2009
fDate :
18-20 Jan. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Key frame extraction is one of fundamental processes in video analysis and content-based video retrieval. Key frame can dramatically reduce the data of the video indexing, and provides a framework for video abstraction and retrieval. This paper briefly discusses the existing approaches, It presents a new approach for key frame extraction based on mutual information. Experimental results show that the approach is computationally simple and able to adapt to the visual content.
Keywords :
content-based retrieval; feature extraction; video retrieval; content-based video retrieval; key frame extraction; mutual information; video abstraction; video analysis; video indexing; visual content; Content based retrieval; Data mining; Density measurement; Entropy; Equations; Information analysis; Information retrieval; Layout; Mutual information; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
Type :
conf
DOI :
10.1109/CNMT.2009.5374631
Filename :
5374631
Link To Document :
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