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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Bibliographic Details
Main Authors: NGO, Chong-wah, PONG, Ting-Chuen, ZHANG, Hong-Jiang
Format: text
Language:English
Published: 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
Description
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.