The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Event threading within news topics
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Tracking news stories across different sources
Proceedings of the 13th annual ACM international conference on Multimedia
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Towards optimal bag-of-features for object categorization and semantic video retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video event detection using motion relativity and visual relatedness
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Large-scale news topic tracking and key-scene ranking with video near-duplicate constraints
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Signature Quadratic Form Distance
Proceedings of the ACM International Conference on Image and Video Retrieval
TOP-SURF: a visual words toolkit
Proceedings of the international conference on Multimedia
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Multimodal News Story Clustering With Pairwise Visual Near-Duplicate Constraint
IEEE Transactions on Multimedia
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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The 24-hour news TV channels repeat the same news stories again and again. In this paper we cluster hundreds of news stories broadcasted in a day into dozens of clusters according to topics, and thus facilitate efficient browsing and summarization. The proposed system automatically removes commercial breaks and detects anchorpersons, and then determines boundaries of news stories. Semantic concepts, the bag of visual word model and the bag of trajectory model are used to describe what and how objects present in news stories. After measuring similarity between stories by the earth mover's distance, the affinity propagation algorithm is utilized to cluster stories of the same topic together. The experimental results show that with the proposed methods sophisticated news stories can be effectively clustered.