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