DocumentCode :
1699445
Title :
Video temporal segmentation using cooperative model
Author :
Teng, Shaohua ; Tan, Wenwei ; Huang, Guibing
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
fYear :
2008
Firstpage :
201
Lastpage :
206
Abstract :
A first step required to allow video indexing and retrieval of visual data is to perform a temporal segmentation, that is, to find the location of camera- shot transitions, which can be either abrupt or gradual. After a critical review of most approaches seeking to solve this problem, we propose a general method for video temporal segmentation. We adopt cooperative model to decide whether a shot transition exists or not within a given video sequence. A segmentation task can be completed through cooperative mechanism. Further, we apply fusion strategy to analyze candidate results and generate final results. The proposed method is evaluated on the TRECV-D-2005 benchmarking platform and the experimental results reveal the effectiveness of the method.
Keywords :
image segmentation; video retrieval; video signal processing; TRECV-D-2005 benchmarking platform; cooperative model; video indexing; video retrieval; video temporal segmentation; Art; Cameras; Content based retrieval; Educational institutions; Fusion power generation; Gunshot detection systems; Indexing; Information retrieval; Video compression; Video sequences; shot boundary; video retrieval; video segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1650-9
Electronic_ISBN :
978-1-4244-1651-6
Type :
conf
DOI :
10.1109/CSCWD.2008.4536982
Filename :
4536982
Link To Document :
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