Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
One-class svms for document classification
The Journal of Machine Learning Research
Manifold-ranking based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Extreme video retrieval: joint maximization of human and computer performance
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on 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
Video annotation by graph-based learning with neighborhood similarity
Proceedings of the 15th international conference on Multimedia
Video search reranking through random walk over document-level context graph
Proceedings of the 15th international conference on Multimedia
VisualRank: Applying PageRank to Large-Scale Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distribution-based concept selection for concept-based video retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Community detection using a measure of global influence
SNAKDD'08 Proceedings of the Second international conference on Advances in social network mining and analysis
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Community structure as an interesting property of networks has attracted wide attention from many research fields. In this paper, we exploit the visual community structure in visual-temporal correlation network and use it to facilitate interactive video retrieval. We propose a hierarchical community-based feedback algorithm (HieCommunityRank) to make full use of the limited user feedback by integrating the most informative context according to visual community semantics. Since it re-ranks video shots respectively through diffusion process in inter-community and intra-community level, HieCommunityRank can guarantee both the global diverse distribution and the local consistency of video shots. Meanwhile it can get fast responsiveness after user feedback, which is rather important facing large amount of video collections. Experiments on TRECVID 09 Search dataset demonstrate the effectiveness and efficiency of the proposed algorithm.