A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Learning Approaches for Detecting and Tracking News Events
IEEE Intelligent Systems
Extrapolation methods for accelerating PageRank computations
WWW '03 Proceedings of the 12th international conference on World Wide Web
A System for new event detection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Semi-Supervised Learning on Riemannian Manifolds
Machine Learning
Manifold-ranking based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Tracking news stories across different sources
Proceedings of the 13th annual ACM international conference on Multimedia
Label propagation through linear neighborhoods
ICML '06 Proceedings of the 23rd international conference on Machine learning
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Time-dependent event hierarchy construction
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A reranking approach for context-based concept fusion in video indexing and retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Video search reranking through random walk over document-level context graph
Proceedings of the 15th international conference on Multimedia
Automatic online news issue construction in web environment
Proceedings of the 17th international conference on World Wide Web
Web video topic discovery and tracking via bipartite graph reinforcement model
Proceedings of the 17th international conference on World Wide Web
Real-time new event detection for video streams
Proceedings of the 17th ACM conference on Information and knowledge management
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The volume of Web videos have increased sharply through the past several years because of the evolvement of Web video sites.Enhanced algorithms on retrieval, classification and TDT (abbreviation of Topic Detection and Tracking) can bring lots of convenience to Web users as well as release tedious work from the administrators. Nevertheless, due to the the insufficiency of annotation keywords and the gap between video features and semantic concepts, it is still far away from satisfactory to implement them based on initial keywords and visual features. In this paper we utilize a keyword propagation algorithm based on manifold structure to enrich the keyword information and remove the noise for videos. Both text similarity and temporal similarity are employed to explore the relationship between any pair of videos and to construct the propagation model. We explore three applications, i.e., TDT, Retrieval and Classification based on a Web news video dataset obtained from a famous online video-distributing website, YouKu, and evaluate our approach. Experimental results demonstrate that they achieve satisfactory performance and always outperform the baseline methods.