Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems - Bharadwaj Veeravalli, Gerassimos Barlas

Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems

Buch | Hardcover
268 Seiten
2005
Springer-Verlag New York Inc.
978-0-387-28873-4 (ISBN)
149,79 inkl. MwSt
Distributed retrieval of multimedia documents, especially the long duration documents, is an imperative step in rendering cost-effective services for network service providers. This work presents research status in the domain of distributed video retrieval. It includes different techniques that are in place for long duration video retrieval.
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 Systems presents 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 Technologies for Multimedia Retrieval Over Networks.- Multiple Servers Retrieval Strategy : Data Partitioning Approach.- Supporting Multiple Clients: Channel Partitioning Approach.- An Alternative Retrieval Strategy: A Play-While-Retrieve Approach.- Scheduling Over Unreliable Channels.- Adapting to Network Variability.- Fault-Tolerance Analysis for Multiple Servers Movie Retrieval Strategy.- An Agent Driven Practical MSR System: JINI Technology.- Future Research Directions.

Reihe/Serie Multimedia Systems and Applications ; 29
Zusatzinfo 92 Illustrations, black and white; XXVIII, 268 p. 92 illus.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Informatik Grafik / Design
Mathematik / Informatik Informatik Theorie / Studium
ISBN-10 0-387-28873-2 / 0387288732
ISBN-13 978-0-387-28873-4 / 9780387288734
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Datenanalyse für Künstliche Intelligenz

von Jürgen Cleve; Uwe Lämmel

Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
74,95
Auswertung von Daten mit pandas, NumPy und IPython

von Wes McKinney

Buch | Softcover (2023)
O'Reilly (Verlag)
44,90