Accessing Video Contents: Cooperative Approach between Image and Natural Language Processing

Takeo Kanade, S. Satoh, and Y. Nakamura
Proc. of International Symposium on Research, Development and Practice in Digital Libraries (ISDL'97), 1997, pp. 143-150.


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Abstract
Digital video libraries become much more important. In achieving them, access and extraction methods of semantic contents of videos are essential technologies. The paper demonstrates the benefits of multi-modal video analysis to extract semantic contents of videos. Two systems, Name-It and Spot-It, are introduced as example systems taking this approach. Name-It detects faces in news vidcos and associates with their names. Spot-It classifics video scgments into several meaningful categories. Their results can enhance performance of both retrieval and presentation for digital video libraries. The successful rcsults demonstrate importance of our approach.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference
Takeo Kanade, S. Satoh, and Y. Nakamura, "Accessing Video Contents: Cooperative Approach between Image and Natural Language Processing," Proc. of International Symposium on Research, Development and Practice in Digital Libraries (ISDL'97), 1997, pp. 143-150.

BibTeX Reference
@inproceedings{Kanade_1997_2459,
   author = "Takeo Kanade and S. Satoh and Y. Nakamura",
   title = "Accessing Video Contents: Cooperative Approach between Image and Natural Language Processing",
   booktitle = "Proc. of International Symposium on Research, Development and Practice in Digital Libraries (ISDL'97)",
   pages = "143-150",
   year = "1997",
}