Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2009
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
Discipline
Data Storage Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 17th ACM international conference on Multimedia, MM'09, Beijing, China, October 19-24
First Page
1109
Last Page
1110
ISBN
9781605586083
Identifier
10.1145/1631272.1631522
Publisher
ACM
City or Country
Beijing, China
Citation
WU, Xiao; ZHAO, Wan-Lei; and NGO, Chong-wah.
Towards Google challenge: Combining contextual and social information for web video categorization. (2009). Proceedings of the 17th ACM international conference on Multimedia, MM'09, Beijing, China, October 19-24. 1109-1110.
Available at: https://ink.library.smu.edu.sg/sis_research/6481
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.