Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems

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.

Demonstrates a practical working system for handling long-duration video retrieval Serves as a feasibility study and as a first step in realizing such a technology Includes supplementary material: sn.pub/extras

Autorentext
Gerassimos Barlas is a Professor with the Computer Science & Engineering Department, American University of Sharjah, Sharjah, UAE. His research interest includes parallel algorithms, development, analysis and modeling frameworks for load balancing, and distributed Video on-Demand. Prof. Barlas has taught parallel computing for more than 12 years, has been involved with parallel computing since the early 90s, and is active in the emerging field of Divisible Load Theory for parallel and distributed systems.

Inhalt
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.