Share Email Print

Proceedings Paper

Content-aware packet scheduling for multiuser scalable video delivery over wireless networks
Author(s): Ehsan Maani; Peshala V. Pahalawatta; Randall Berry; Aggelos K. Katsaggelos
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Wireless video transmission is prone to potentially low data rates and unpredictable degradations due to timevarying channel conditions. Such degradations are difficult to overcome using conventional video coding techniques. Scalable video coding offers a flexible bitstream that can be dynamically adapted to fit the prevailing channel conditions. Advances in scalable video compression techniques, such as the newly adopted scalable extension of H.264/AVC, as well as recent advances in wireless access technologies offer possibilities for tackling this challenge. In this paper, a content-aware scheduling and resource allocation scheme is proposed, that uses a gradient-based scheduling framework in conjunction with scalable video coding techniques to provide multiple high quality video streams over a range of operating conditions to multiple users. Simulation results show that the proposed scheme performs better than conventional content-independent scheduling techniques.

Paper Details

Date Published: 2 September 2009
PDF: 9 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74430C (2 September 2009); doi: 10.1117/12.829402
Show Author Affiliations
Ehsan Maani, Northwestern Univ. (United States)
Peshala V. Pahalawatta, Dolby Labs. (United States)
Randall Berry, Northwestern Univ. (United States)
Aggelos K. Katsaggelos, Northwestern Univ. (United States)

Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top