Paper
25 March 1996 Retrieval techniques for compressed video streams
Deepak R. Kenchammana-Hosekote, Jaideep Srivastava
Author Affiliations +
Proceedings Volume 2667, Multimedia Computing and Networking 1996; (1996) https://doi.org/10.1117/12.235892
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
A number of applications require audio and video data. Access to such data requires continuous real-time stream flow during playback (recording). This requires scheduling access to storage devices for such data. The high volume of such streams, especially video, makes it necessary to store them using compression schemes like JPEG and MPEG. However, doing so introduces playback data rate variability which in turn leads to poor storage system utilization if playback guarantees are to be maintained. Not all applications require perfect playback, and some tardiness and discontinuity during playback, within limits of acceptable Quality of Service (QoS), is tolerated. In this paper we briefly describe solutions to two problems that arise in scheduling the retrieval of compressed streams from secondary storage. Firstly, we propose QBSCAN, a scheme which reserves I/O bandwidth based on statistical estimates of playback rate in order to improve utilization. This is achieved by incorporating the QoS which comprises the playback rate (in frames per second), the maximum (consecutive) skipped frames, and the mean time between frame skips. Secondly, we develop storage techniques specifically designed for MPEG video, to be used in conjunction with QBSCAN, that allows robust playback. This is a problem because MPEG encoding introduces inter frame dependencies which make it hard to drop frames arbitrarily. Thus, the objectives of QBSCAN are to maximize the storage system utilization, and minimize buffer requirement, while providing the needed QoS despite data rate variability and dependency. Simulation studies are used to validate the efficacy of the proposed techniques.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deepak R. Kenchammana-Hosekote and Jaideep Srivastava "Retrieval techniques for compressed video streams", Proc. SPIE 2667, Multimedia Computing and Networking 1996, (25 March 1996); https://doi.org/10.1117/12.235892
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Video compression

Surface plasmons

Statistical analysis

Data storage

Control systems

Computer simulations

RELATED CONTENT

Disk-striping scalability in the Exedra media server
Proceedings of SPIE (December 22 2000)
Cost analysis for VBR video servers
Proceedings of SPIE (March 25 1996)
Fast data placement scheme for video server with zoned-disks
Proceedings of SPIE (October 06 1997)
Design of a multimedia storage server
Proceedings of SPIE (April 01 1994)

Back to Top