Video temporal segmentation using cooperative model

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 g...

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Bibliographic Details
Published in2008 12th International Conference on Computer Supported Cooperative Work in Design pp. 201 - 206
Main Authors Shaohua Teng, Wenwei Tan, Guibing Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2008
Subjects
Cameras
Content based retrieval
Educational institutions
Fusion power generation
Gunshot detection systems
Indexing
Information retrieval
shot boundary
Video compression
video retrieval
video segmentation
Video sequences
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Summary: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.
ISBN:9781424416509
1424416507
DOI:10.1109/CSCWD.2008.4536982