Performance evaluation of h.264 mapping strategies over IEEE 802.11e WLAN for robust video streaming

Authors:
Umar Iqbal Choudhry;JongWon Kim
Affiliations:
Networked Media Laboratory, Department of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea;Networked Media Laboratory, Department of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Year:
2005

Citing 3
Cited 3

Performance comparison of the emerging H.264 video coding standard with the existing standards

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Quality-of-service mapping mechanism for packet video indifferentiated services network

IEEE Transactions on Multimedia
H.264/AVC over IP

IEEE Transactions on Circuits and Systems for Video Technology

Effectiveness of H.264 error resilience techniques in 802.11e WLANs

WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
QoS of video delivered over 802.11e WLANs

ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Delay-constrained adaptive early drop for real-time video delivery over IEEE 802.11 wireless networks

Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we propose several mapping schemes for streaming video generated by state–of–the–art H.264 codec over IEEE 802.11e enabled wireless LANs. The schemes take advantage of both 802.11e's QoS mechanism and some novel features of the H.264 codec, so as to protect the most important information in terms of visual quality and reduce distortion under network congestion. The proposed methods are evaluated by means of the H.264 reference software codec, network simulation, and objective video quality measurements. Results show that the proposed methods achieve a robust and error resilient H.264 video streaming over wireless LANs than traditional best–effort streaming.