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Name-it: Association of Face and Name in Video
Carnegie Mellon University. Computer Science Department
Shin'ichi Satoh
Takeo Kanade
出版
Carnegie-Mellon University. Department of Computer Science
, 1996
URL
http://books.google.com.hk/books?id=gwd50AEACAAJ&hl=&source=gbs_api
註釋
Abstract: "This paper proposes a novel approach to extract meaningful content information from video by collaborative integration of image understanding 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 effectiveness in integrating heterogeneous techniques as well as the importance of real content information extraction from video, especially face-name association."