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Distributed Multimedia Retrieval Strategies For Large Scale Networked Systems 1st Edition Bharadwaj Veeravalli

  • SKU: BELL-998876
Distributed Multimedia Retrieval Strategies For Large Scale Networked Systems 1st Edition Bharadwaj Veeravalli
$ 31.00 $ 45.00 (-31%)

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Distributed Multimedia Retrieval Strategies For Large Scale Networked Systems 1st Edition Bharadwaj Veeravalli instant download after payment.

Publisher: Springer US
File Extension: PDF
File size: 13.25 MB
Pages: 268
Author: Bharadwaj Veeravalli, Gerassimos Barlas (auth.)
ISBN: 9780387288734, 9780387296753, 9781441939609, 0387288732, 0387296751, 1441939601
Language: English
Year: 2006
Edition: 1

Product desciption

Distributed Multimedia Retrieval Strategies For Large Scale Networked Systems 1st Edition Bharadwaj Veeravalli by Bharadwaj Veeravalli, Gerassimos Barlas (auth.) 9780387288734, 9780387296753, 9781441939609, 0387288732, 0387296751, 1441939601 instant download after payment.

Several works on multimedia storage appear in literature today, but very little if any, have been devoted to handling long duration video retrieval, over large scale networks. Distributed retrieval of multimedia documents, especially the long duration documents, is an imperative step in rendering high-quality, high-fidelity, and cost-effective services for network service providers.

Distributed Multimedia Retrieval Strategies for Large Scale Networked Systemspresents an up-to-date research status in the domain of distributed video retrieval. This professional book will include several different techniques that are in place for long duration video retrieval. An experimentally tested technology under the JINI platform, demonstrates a practical working system which serves as a feasibility study, as well as the first step in realizing such a technology.

Distributed Multimedia Retrieval Strategies for Large Scale Networked Systemsis designed for a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.

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