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CIKM
2009
Springer

Commentary-based video categorization and concept discovery

10 years 11 months ago
Commentary-based video categorization and concept discovery
Social network contents are not limited to text but also multimedia. Dailymotion, YouTube, and MySpace are examples of successful sites which allow users to share videos among themselves. Due to the huge amount of videos, grouping videos with similar contents together can help users to search videos more efficiently. Unlike the traditional approach to group videos into some predefined categories, we propose a novel comment-based matrix factorization technique to categorize videos and generate concept words to facilitate searching and indexing. Since the categorization is learnt from users feedback, it can accurately represent the user sentiment on the videos. Experiments conducted by using empirical data collected from YouTube shows the effectiveness of our proposed methodologies.
Janice Kwan-Wai Leung, Chun Hung Li, Ting Keung Ip
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIKM
Authors Janice Kwan-Wai Leung, Chun Hung Li, Ting Keung Ip
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