Buffering techniques for delivery of compressed video in video-on-demand systems

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July 12, 2024 | History

Buffering techniques for delivery of compressed video in video-on-demand systems

Buffering Techniques for Delivery of Compressed Video in Video-on-Demand Systems presents a comprehensive description of buffering techniques for the delivery of compressed, prerecorded multimedia data. While tease techniques can be applied to any compressed data streams, this book focusses primarily on the delivery of video streams because of the large resource requirements that they can consume. The book first describes buffering techniques for the continuous playback of stored video sources.

In particular, several bandwidth smoothing (or buffering) algorithms that are provably optimal under certain conditions are presented. To provide a well-rounded discussion, the book then describes extensions that aid in the ability to provide interactive delivery of video across networks. Specifically, reservation techniques that take into account interactive functions such as fast-forward and rewind are described. In addition, extensions to the bandwidth smoothing algorithms presented in the first few chapters are described.

These algorithms are designed with interactive, continuous playback of stored video in mind and are also provably optimal under certain constraints. Buffering Techniques for Delivery of Compressed Video in Video-on-Demand Systems serves as an excellent resource for multimedia systems, networking and video-on-demand designers, and may be used as a text for advanced courses on the topic.

Publish Date
Language
English
Pages
132

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Book Details


Edition Notes

Includes bibliographical references (p. [129]-132) and index.

Published in
Boston
Series
SECS ;, 417, Kluwer international series in engineering and computer science ;, SECS 417.

Classifications

Dewey Decimal Class
621.388/332
Library of Congress
TK6679.3 .F46 1997, QA76.575TK5105.5-510

The Physical Object

Pagination
xvii, 132 p. :
Number of pages
132

Edition Identifiers

Open Library
OL681233M
ISBN 10
0792399986
LCCN
97027833
OCLC/WorldCat
37322552
Library Thing
8795813
Goodreads
4500419

Work Identifiers

Work ID
OL2695177W

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July 12, 2024 Edited by MARC Bot import existing book
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