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

• Main Authors: WU, Xiao, ZHAO, Wan-Lei, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Categorization; Classification; Context; Social web; Web video; Data Storage Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6481; https://ink.library.smu.edu.sg/context/sis_research/article/7484/viewcontent/1631272.1631522.pdf
• Institution: Singapore Management University

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.