DocumentCode :
2778119
Title :
Automatic video parsing using shot boundary detection and camera operation analysis
Author :
Lee, Mee-Sook ; Hwang, Bon-Woo ; Sull, Sanghoon ; Lee, Seong-Whan
Author_Institution :
Center for Artificial Vision Res., Korea Univ., Seoul, South Korea
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1481
Abstract :
We present an efficient video parsing method using shot boundary detection and camera operation analysis technique. In the shot boundary detection, the local color information and an adaptive time window is used. The local spatio-temporal images and multilayer perceptron are used for analyzing the camera operations. In order to verify the performance of the proposed video parsing method, experiments with video database have been carried out. Experimental results demonstrate the efficiency of the video parsing technique
Keywords :
image colour analysis; indexing; learning (artificial intelligence); multilayer perceptrons; video signal processing; visual databases; adaptive time window; automatic video parsing; camera operation analysis; learning algorithm; local color information; multilayer perceptron; shot boundary detection; spatiotemporal images; video database; video indexing; Cameras; Content based retrieval; Content management; Gunshot detection systems; Image analysis; Image databases; Indexing; Information management; Information retrieval; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711986
Filename :
711986
Link To Document :
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