DocumentCode :
2531802
Title :
Name-It: association of face and name in video
Author :
Satoh, Shin´ichi ; Kanade, Takeo
fYear :
1997
fDate :
17-19 Jun 1997
Firstpage :
368
Lastpage :
373
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
Keywords :
data compression; image processing; natural language interfaces; video coding; content information; heterogeneous techniques; image understanding; knowledge source; natural language processing; video by collaborative integration; Computer science; Data mining; Face detection; Histograms; Image color analysis; Image retrieval; Image sequences; Indexing; Natural languages; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
ISSN :
1063-6919
Print_ISBN :
0-8186-7822-4
Type :
conf
DOI :
10.1109/CVPR.1997.609351
Filename :
609351
Link To Document :
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