The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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",
}

The Robotics Institute

Menu