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@pagefooting(immediate, left "@c<Technical Report 1996>",
center "@c<Computer Science>",
right "@c<Carnegie Mellon>")
@heading(Name-It: Association of Face and Name in Video)
@heading(CMU-CS-96-205)
@center(@b(Shin'ichi Satoh, Takeo Kanade))
@center(December 1996)
@center(FTP: CMU-CS-96-205.ps.gz)
@blankspace(1)
@begin(text)

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.

@blankspace(2line)
@begin(transparent,size=10)
@b(Keywords:@ )@c<Video indexing, context-based retrieval, face detection and 
identification>
@end(transparent)
@blankspace(1line)
@end(text)
@flushright(@b[(19 pages)])