Motion-based video representation for scene change detection
In this paper, we present a new framework to automatically group similar shots into one scene, where a scene is generally referred to as a group of shots taken place in the same site. Two major components in this framework are based on the motion characterization and background segmentation. The for...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2002
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6330 https://ink.library.smu.edu.sg/context/sis_research/article/7333/viewcontent/ijcv02.pdf |
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Institution: | Singapore Management University |
Language: | English |
Summary: | In this paper, we present a new framework to automatically group similar shots into one scene, where a scene is generally referred to as a group of shots taken place in the same site. Two major components in this framework are based on the motion characterization and background segmentation. The former component leads to an effective video representation scheme by adaptively selecting and forming keyframes. The later is considered novel in that background reconstruction is incorporated into the detection of scene change. These two components, combined with the color histogram intersection, establish our basic concept on assessing the similarity of scenes. |
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