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1997
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Name-It: Association of Face and Name in Video

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Name-It: Association of Face and Name in Video
This paper proposes a novel approach to extract meaningful content information from video by collaborative integration of imageunderstanding and natural language processing. As an actual example, we developed a system that associates faces and names in videos, called Name-It, which is given news videos as a knowledge source, then automatically extracts face and name association as content information. The system can infer the name of a given unknown face image, or guess faces which are likely to have the name given to the system. This paper explains the method with several successful matching results which reveal e ectiveness in integrating heterogeneous techniques as well as the importance of real content information extraction from video, especially face-name association. This material is based upon work supported by the National Science Foundation under Cooperative Agreement No. IRI-9411299. Any opinions, ndings, and conclusions or recommendations expressed in this material are tho...
Shin'ichi Satoh, Takeo Kanade
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1997
Where CVPR
Authors Shin'ichi Satoh, Takeo Kanade
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