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2006 IEEE International Conference on Multimedia and Expo
Which Thousand Words are Worth a Picture? Experiments on Video Retrieval using a Thousand Concepts
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Wei-hao Lin, Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 U.S.A.
Alexander Hauptmann, Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 U.S.A.
In contrast to traditional video retrieval that represents visual content with low-level features (e.g. color and texture), emerging concept-based video retrieval allows users to search video archives by specifying a limited number of high-level concepts (e.g. outdoors and car). Recent studies have demonstrated the feasibility of concept-based retrieval, but a fundamental question remains: what kinds of concepts should we index? We analyze a large video archive annotated with more than a thousand high-level concepts, and develop guidelines for choosing concepts of high utility to video retrieval.
Citation:
Wei-hao Lin, Alexander Hauptmann, "Which Thousand Words are Worth a Picture? Experiments on Video Retrieval using a Thousand Concepts," icme, pp.41-44, 2006 IEEE International Conference on Multimedia and Expo, 2006
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