DocumentCode :
2133455
Title :
The research and implementation of keyframe extracion methods in content-based teaching video retrieval
Author :
Lanying, Huang ; Cong-huan, Ye
Author_Institution :
Sch. of Comput. & Inf. Sci., Hubei Eng. Univ., Xiaogan, China
fYear :
2012
fDate :
21-23 April 2012
Firstpage :
2179
Lastpage :
2182
Abstract :
The paper discusses the current key frame extraction technology based on the characteristics of teaching video. An experiment system of key frame extraction has been designed based on color feature. The algorithms, which are based on the Histogram average method, content analysis, shot boundary extraction, Kernel Clustering method and so on, have been achieved and and its characteristics are summarized.
Keywords :
computer aided instruction; content-based retrieval; edge detection; feature extraction; image colour analysis; pattern clustering; teaching; video retrieval; color feature; content analysis; content-based teaching video retrieval; histogram average method; kernel clustering method; key frame extraction technology; shot boundary extraction; Computers; Data mining; Educational institutions; Entropy; Feature extraction; Mutual information; Nickel; color feature; histogram; keyframe; video retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
Type :
conf
DOI :
10.1109/CECNet.2012.6202233
Filename :
6202233
Link To Document :
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