Quality Weighted Bit Allocation for Smoother Streaming of Stored FGS Video
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Resource consumption-aware QoS in cluster-based VOD servers
Journal of Systems Architecture: the EUROMICRO Journal
Multimedia Tools and Applications
An effective failure recovery mechanism with pipeline computing in clustered-based VOD servers
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Load distribution strategies in cluster-based transcoding servers for mobile clients
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
A majorization approach to downlink multiuser VBR video streaming
Computer Communications
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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.