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TREC
2001
13 years 6 months ago
Integrating Features, Models, and Semantics for TREC Video Retrieval
In this paper, we describe a system for automatic and interactive content-based retrieval of video that integrates features, models, and semantics. The novelty of the approach lie...
John R. Smith, Savitha Srinivasan, Arnon Amir, San...
VISUAL
2007
Springer
13 years 10 months ago
News Video Retrieval by Learning Multimodal Semantic Information
With the explosion of multimedia data especially that of video data, requirement of efficient video retrieval has becoming more and more important. Years of TREC Video Retrieval Ev...
Hui Yu, Bolan Su, Hong Lu, Xiangyang Xue
ICPR
2002
IEEE
14 years 5 months ago
A Statistical Modeling Approach to Content Based Video Retrieval
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evalua...
Milind R. Naphade, Sankar Basu, John R. Smith, Chi...
MIR
2006
ACM
151views Multimedia» more  MIR 2006»
13 years 10 months ago
Evaluation campaigns and TRECVid
The TREC Video Retrieval Evaluation (TRECVid) is an international benchmarking activity to encourage research in video information retrieval by providing a large test collection, ...
Alan F. Smeaton, Paul Over, Wessel Kraaij
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
13 years 10 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose