Inductive learning algorithms and representations for text categorization
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On-line new event detection and tracking
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Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
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Similarity estimation techniques from rounding algorithms
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Novelty and redundancy detection in adaptive filtering
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A cluster algorithm for graphs
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An efficient parts-based near-duplicate and sub-image retrieval system
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Near-duplicate detection by instance-level constrained clustering
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I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
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Fobs: an open source object-oriented library for accessing multimedia content
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Video histogram: a novel video signature for efficient web video duplicate detection
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WAIM'11 Proceedings of the 12th international conference on Web-age information management
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Video-to-shot tag allocation by weighted sparse group lasso
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The analysis of the leading social video sharing platform YouTube reveals a high amount of redundancy, in the form of videos with overlapping or duplicated content. In this paper, we show that this redundancy can provide useful information about connections between videos. We reveal these links using robust content-based video analysis techniques and exploit them for generating new tag assignments. To this end, we propose different tag propagation methods for automatically obtaining richer video annotations. Our techniques provide the user with additional information about videos, and lead to enhanced feature representations for applications such as automatic data organization and search. Experiments on video clustering and classification as well as a user evaluation demonstrate the viability of our approach.