Towards Google challenge: Combining contextual and social information for web video categorization

Xiao Wu; Wan-Lei Zhao; Chong-Wah Ngo

doi:10.1145/1631272.1631522

Towards Google challenge: Combining contextual and social information for web video categorization

Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

22 Citations (Scopus)

Abstract

Web video categorization is a fundamental task for web video search. In this paper, we explore the Google challenge from a new perspective by combing contextual and social information under the scenario of social web. The semantic meaning of text (title and tags), video relevance from related videos, and user interest induced from user videos, are integrated to robustly determine the video category. Experiments on YouTube videos demonstrate the effectiveness of the proposed solution. The performance reaches 60% improvement compared to the traditional text based classifiers.

Original language	English
Title of host publication	MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
Pages	1109-1110
DOIs	https://doi.org/10.1145/1631272.1631522
Publication status	Published - 2009
Event	17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums - Beijing, China Duration: 19 Oct 2009 → 24 Oct 2009

Conference

Conference	17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums
Place	China
City	Beijing
Period	19/10/09 → 24/10/09

Research Keywords

Categorization
Classification
Context
Social web
Web video

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10.1145/1631272.1631522

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@inproceedings{31a4b285e4f84d7682c4f316e1908307,

title = "Towards Google challenge: Combining contextual and social information for web video categorization",

abstract = "Web video categorization is a fundamental task for web video search. In this paper, we explore the Google challenge from a new perspective by combing contextual and social information under the scenario of social web. The semantic meaning of text (title and tags), video relevance from related videos, and user interest induced from user videos, are integrated to robustly determine the video category. Experiments on YouTube videos demonstrate the effectiveness of the proposed solution. The performance reaches 60% improvement compared to the traditional text based classifiers.",

keywords = "Categorization, Classification, Context, Social web, Web video",

author = "Xiao Wu and Wan-Lei Zhao and Chong-Wah Ngo",

year = "2009",

doi = "10.1145/1631272.1631522",

language = "English",

isbn = "9781605586083",

pages = "1109--1110",

booktitle = "MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums",

note = "17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums ; Conference date: 19-10-2009 Through 24-10-2009",

}

Wu, X, Zhao, W-L & Ngo, C-W 2009, Towards Google challenge: Combining contextual and social information for web video categorization. in MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums. pp. 1109-1110, 17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums, Beijing, China, 19/10/09. https://doi.org/10.1145/1631272.1631522

Towards Google challenge: Combining contextual and social information for web video categorization. / Wu, Xiao; Zhao, Wan-Lei; Ngo, Chong-Wah.
MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums. 2009. p. 1109-1110.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Towards Google challenge

T2 - 17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

AU - Wu, Xiao

AU - Zhao, Wan-Lei

AU - Ngo, Chong-Wah

PY - 2009

Y1 - 2009

N2 - Web video categorization is a fundamental task for web video search. In this paper, we explore the Google challenge from a new perspective by combing contextual and social information under the scenario of social web. The semantic meaning of text (title and tags), video relevance from related videos, and user interest induced from user videos, are integrated to robustly determine the video category. Experiments on YouTube videos demonstrate the effectiveness of the proposed solution. The performance reaches 60% improvement compared to the traditional text based classifiers.

AB - Web video categorization is a fundamental task for web video search. In this paper, we explore the Google challenge from a new perspective by combing contextual and social information under the scenario of social web. The semantic meaning of text (title and tags), video relevance from related videos, and user interest induced from user videos, are integrated to robustly determine the video category. Experiments on YouTube videos demonstrate the effectiveness of the proposed solution. The performance reaches 60% improvement compared to the traditional text based classifiers.

KW - Categorization

KW - Classification

KW - Context

KW - Social web

KW - Web video

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DO - 10.1145/1631272.1631522

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781605586083

SP - 1109

EP - 1110

BT - MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Y2 - 19 October 2009 through 24 October 2009

ER -

Towards Google challenge: Combining contextual and social information for web video categorization

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