Relevance Ranking of Video Data Using Hidden Markov Model Distances and Polygon Simplification-Reference-Cited by-同舟云学术

Relevance Ranking of Video Data Using Hidden Markov Model Distances and Polygon Simplification

Published:2000 Issue: Volume: Page:49-61
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

DeMenthon Daniel,Jan Latecki Longin,Rosenfeld Azriel,Vuilleumier Stückelberg Marc

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-40053-2_5

Reference17 articles.

1. Anders, J.,Java MPEG page, http://rnvs.informatik.tu-chemnitz.de/_ja/MPEG/MPEG Play.html

2. Coulibaly, I.,and Lécot, C.,“Simulation of Diffusion Using Quasi-Random Walk Methods”,Mathematics and Computers in Simulation, vol.47, pp. 154–163, 1998.

3. DeMenthon, D.F., Kobla, V., M., and Doermann, D., “Video Summarization by Curve Simplification”, Technical Report LAMP-TR-018, CAR-TR-889, July 1998; also ACM Multimedia 98, Bristol, England, pp. 211–218, 1998.

4. DeMenthon, D.F., Vuilleumier Stückelberg, M., and Doermann, D., “Hidden Markov Models for Images”, Int. Conf. on Pattern Recognition, Barcelona, Spain, 2000.

5. Foote, J., Boreczky, J., Girgensohn, A., and Wilcox, L. (1998), “An Intelligent Media Browser using Automatic Multimodal Analysis”, ACM Multimedia 98, Bristol,England, pp. 375–380, 1998.

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