DocumentCode :
2264883
Title :
Video scene detection by link-constrained affinity-propagation
Author :
Huang, Chun-Rong ; Chen, Chu-Song
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
fYear :
2009
fDate :
24-27 May 2009
Firstpage :
2834
Lastpage :
2837
Abstract :
Video scenes provide semantic meanings for video content description and summarization. This paper explores the pair-wise visual cues of near-duplicate objects for link-constraint affinity-propagation without using keyframes. Experiments demonstrate that our method is more capable to identify scenes comparing with non-constrained clustering algorithms.
Keywords :
content management; indexing; object detection; video signal processing; link-constrained affinity-propagation; near-duplicate object; pair-wise visual cues; video content description; video content summarization; video indexing; video scene detection; Clustering algorithms; Clustering methods; Gunshot detection systems; Histograms; Indexing; Information science; Layout; Object detection; Photometry; Time factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
Type :
conf
DOI :
10.1109/ISCAS.2009.5118392
Filename :
5118392
Link To Document :
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