Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
mediaWalker: a video archive explorer based on time-series semantic structure
Proceedings of the 15th international conference on Multimedia
The use of topic evolution to help users browse and find answers in news video corpus
Proceedings of the 15th international conference on Multimedia
Web video topic discovery and tracking via bipartite graph reinforcement model
Proceedings of the 17th international conference on World Wide Web
Using Burstiness to Improve Clustering of Topics in News Streams
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Scalable detection of partial near-duplicate videos by visual-temporal consistency
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Browse by chunks: Topic mining and organizing on web-scale social media
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
A unified framework for web video topic discovery and visualization
Pattern Recognition Letters
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While there have been research efforts in organizing large scale web videos into clusters or topics, efficient browsing of web video topics remains a challenging problem not yet addressed. The related issues include how to efficiently browse and track the evolution of topics and eventually locate the videos of interest. In this demo paper, we introduce a novel interface for visualizing video topics as evolution trajectories. The trajectory visualization is capable of highlighting milestone events and depicting the topical hotness over time. The interface also allows multi-level browsing from topics to events and to videos, resulting in search exploration could be more efficiently conducted to locate videos of interest. In addition, recommendation of topics accordingly to three-hots content-hot, evolution-hot and potential-hot, can be easily supported by our system. A user study on three months. YouTube videos using our interface demonstrates the efficiency of our system in browsing web videos.