<p><em>Interactive Video-on-Demand Systems: Resource Management and</em><em>Scheduling Strategies</em> addresses issues in scheduling and management of resources in an interactive continuous-media (e.g., audio and video) server. The book emphasizes dynamic and run-time strategies for resource schedu
Video on Demand Systems: Technology, Interoperability and Trials
โ Scribed by Shih-Fu Chang, Dimitris Anastassiou, Alexandros Eleftheriadis, John V. Pavlik (auth.), Shih-Fu Chang, Dimitris Anastassiou, Alexandros Eleftheriadis, John V. Pavlik (eds.)
- Publisher
- Springer US
- Year
- 1997
- Tongue
- English
- Leaves
- 108
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Video on Demand Systems brings together in one place important contributions and up-to-date research results in this fast moving area.
Video on Demand Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
โฆ Table of Contents
Front Matter....Pages i-iii
Guest Editorial....Pages 1-4
DAVIC and Interoperability Experiments....Pages 5-18
ARMIDAโข: Multimedia Applications across ATM-Based Networks Accessed via Internet Navigation....Pages 19-32
An Interoperability Test-Bed and Test Results for DAVIC 1.0 Specification....Pages 33-45
A VoD Application Implemented in Java....Pages 47-56
Columbiaโs VoD and Multimedia Research Testbed with Heterogeneous Network Support....Pages 57-70
The Video-On-Demand Trial in Taiwan: A Partially DAVIC Compliant System....Pages 71-83
โNTTโs Joint Utilization Tests of Multimedia CommunicationsโโUtilization Tests for CATV and VOD over FTTH....Pages 85-91
Interactive Television Trials and Marketplace Experiences....Pages 93-102
From Interactive Television to Internet Applications....Pages 103-108
โฆ Subjects
Multimedia Information Systems; Data Structures, Cryptology and Information Theory; Computer Science, general
๐ SIMILAR VOLUMES
<P>From the streets of London toย subway stations in New York City, hundreds of thousands of surveillance cameras ubiquitously collect hundreds of thousands of videos, often running 24/7. How can such vast volumes of video data be stored, analyzed, indexed, and searched? How can advanced video analys