DocumentCode :
2542077
Title :
Key frame extraction of online video based on optimized frame difference
Author :
Huayong Liu ; Wenting Meng ; Zhi Liu
Author_Institution :
Dept. of Comput. Sci., Normal Univ., Wuhan, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1238
Lastpage :
1242
Abstract :
Key frame extraction is a basic technology of online video retrieval and abstract establishing. Efficient key frame extraction technology can promote the development of widely-used video browsing technology. In this paper, we first reviewed some commonly-used key frame extraction technology, and then proposed a key frame extraction technology based on optimized frame difference, which measures the similarity of two adjacent frames´ contents in terms of the information of frame difference, and extracts key frames after optimizing the frame difference. The experiment results show that the proposed algorithm can extract key information of online video efficiently, and has a good description in the aspect of changes in the movement of the lens.
Keywords :
feature extraction; video retrieval; video signal processing; frame difference; frames contents; key frame extraction technology; key information extraction; lens movement; online video retrieval technology; optimized frame difference-based online video; video browsing technology; Algorithm design and analysis; Clustering algorithms; Data mining; Histograms; Lenses; Optimization; Streaming media; frame average method; fuzzy cluster; inter-frame difference; key frame extraction; online video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6233777
Filename :
6233777
Link To Document :
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