Paper Info
Title
Web video topic discovery and tracking via bipartite graph reinforcement model
Abstract
Automatic topic discovery and tracking on web-shared videos can greatly benefit both web service providers and end users. Most of current solutions of topic detection and tracking were done on news and cannot be directly applied on web videos, because the semantic information of web videos is much less than that of news videos. In this paper, we propose a bipartite graph model to address this issue. The bipartite graph represents the correlation between web videos and their keywords, and automatic topic discovery is achieved through two steps - coarse topic filtering and fine topic re-ranking. First, a weight-updating co-clustering algorithm is employed to filter out topic candidates at a coarse level. Then the videos on each topic are re-ranked by analyzing the link structures of the corresponding bipartite graph. After the topics are discovered, the interesting ones can also be tracked over a period of time using the same bipartite graph model. The key is to propagate the relevant scores and keywords from the videos of interests to other relevant ones through the bipartite graph links. Experimental results on real web videos from YouKu, a YouTube counterpart in China, demonstrate the effectiveness of the proposed methods. We report very promising results.
Year
DOI
Venue
2008
10.1145/1367497.1367633
WWW
Keywords
Field
DocType
fine topic re-ranking,coarse topic,bipartite graph model,web video,automatic topic discovery,bipartite graph reinforcement model,bipartite graph,topic candidate,topic detection,bipartite graph link,corresponding bipartite graph,web video topic discovery,co clustering,reinforcement,web service,algorithms
World Wide Web,End user,Information retrieval,Computer science,Bipartite graph,Filter (signal processing),Semantic information,Biclustering,Web service
Conference
Citations 
PageRank 
References 
46
1.87
12
Authors
5
Name
Order
Citations
PageRank
Lu Liu11501170.70
Lifeng Sun296798.43
Yong Rui37052449.08
Yao Shi412413.96
Shiqiang Yang52478155.24