Mining event structures from web videos

The article is discussing the issues of mining event structures from Web video search results using text analysis, burst detection, and clustering as with the proliferation of social media, the volume of Web videos have grown exponentially.

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Bibliographic Details
Main Authors:	WU, Xiao, LU, Yi-Jie, PENG, Qiang, NGO, Chong-wah
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2011
Subjects:	Data Storage Systems Graphics and Human Computer Interfaces
Online Access:	https://ink.library.smu.edu.sg/sis_research/6328 https://ink.library.smu.edu.sg/context/sis_research/article/7331/viewcontent/mmu2011010038_38..51.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-7331
record_format	dspace
spelling	sg-smu-ink.sis_research-73312021-11-23T04:58:07Z Mining event structures from web videos WU, Xiao LU, Yi-Jie PENG, Qiang NGO, Chong-wah The article is discussing the issues of mining event structures from Web video search results using text analysis, burst detection, and clustering as with the proliferation of social media, the volume of Web videos have grown exponentially. 2011-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6328 info:doi/10.1109/MMUL.2011.12 https://ink.library.smu.edu.sg/context/sis_research/article/7331/viewcontent/mmu2011010038_38..51.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 Data Storage Systems 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	Data Storage Systems Graphics and Human Computer Interfaces
spellingShingle	Data Storage Systems Graphics and Human Computer Interfaces WU, Xiao LU, Yi-Jie PENG, Qiang NGO, Chong-wah Mining event structures from web videos
description	The article is discussing the issues of mining event structures from Web video search results using text analysis, burst detection, and clustering as with the proliferation of social media, the volume of Web videos have grown exponentially.
format	text
author	WU, Xiao LU, Yi-Jie PENG, Qiang NGO, Chong-wah
author_facet	WU, Xiao LU, Yi-Jie PENG, Qiang NGO, Chong-wah
author_sort	WU, Xiao
title	Mining event structures from web videos
title_short	Mining event structures from web videos
title_full	Mining event structures from web videos
title_fullStr	Mining event structures from web videos
title_full_unstemmed	Mining event structures from web videos
title_sort	mining event structures from web videos
publisher	Institutional Knowledge at Singapore Management University
publishDate	2011
url	https://ink.library.smu.edu.sg/sis_research/6328 https://ink.library.smu.edu.sg/context/sis_research/article/7331/viewcontent/mmu2011010038_38..51.pdf
_version_	1770575935214452736

Mining event structures from web videos

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