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: 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
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spelling sg-smu-ink.sis_research-73332021-11-23T04:56:33Z Motion-based video representation for scene change detection NGO, Chong-wah PONG, Ting-Chuen ZHANG, Hong-Jiang 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. 2002-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6330 info:doi/10.1023/A:1020341931699 https://ink.library.smu.edu.sg/context/sis_research/article/7333/viewcontent/ijcv02.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University scene change detection spatio-temporal slice keyframe formation background reconstruction Computer Sciences Graphics and Human Computer Interfaces
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic scene change detection
spatio-temporal slice
keyframe formation
background reconstruction
Computer Sciences
Graphics and Human Computer Interfaces
spellingShingle scene change detection
spatio-temporal slice
keyframe formation
background reconstruction
Computer Sciences
Graphics and Human Computer Interfaces
NGO, Chong-wah
PONG, Ting-Chuen
ZHANG, Hong-Jiang
Motion-based video representation for scene change detection
description 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.
format text
author NGO, Chong-wah
PONG, Ting-Chuen
ZHANG, Hong-Jiang
author_facet NGO, Chong-wah
PONG, Ting-Chuen
ZHANG, Hong-Jiang
author_sort NGO, Chong-wah
title Motion-based video representation for scene change detection
title_short Motion-based video representation for scene change detection
title_full Motion-based video representation for scene change detection
title_fullStr Motion-based video representation for scene change detection
title_full_unstemmed Motion-based video representation for scene change detection
title_sort motion-based video representation for scene change detection
publisher Institutional Knowledge at Singapore Management University
publishDate 2002
url 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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