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Extending critical bandwidth allocation techniques for stored video delivery across best‐effort networks
Author(s) -
Feng Wuchi,
Liu Ming
Publication year - 2001
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.516
Subject(s) - computer science , frame (networking) , a priori and a posteriori , bandwidth (computing) , video quality , real time computing , the internet , frame rate , internet video , video compression picture types , bandwidth allocation , video tracking , computer network , multimedia , video processing , artificial intelligence , world wide web , metric (unit) , philosophy , operations management , epistemology , economics
In this paper, we propose two new techniques for the delivery of compressed prerecorded video streams across best‐effort networks like the Internet. Current approaches for the delivery of stored video across best‐effort networks typically alter the quality of the video frames, the frame rate delivered to the user, or a combination of both. By using network feedback, these algorithms continually adjust the video quality to fit within the available network resources. These approaches, however, do not take advantage of the a priori information available from stored video streams, namely the frame sizes that the movie consists of. We will show how monitoring the a priori information and actively monitoring a client‐side buffer can help smooth the video frame rate delivered to the user, providing a more consistent quality of video. Copyright © 2001 John Wiley & Sons, Ltd.