Quality-driven optimization for content-aware real-time video streaming in wireless mesh networks

Dalei Wu, Haiyan Luo, Song Ci, Haohong Wang, Aggelos Katsaggelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Video transport over multi-hop wireless networks has received significant research interests recently. The majority of the research efforts in this field have been conducted taking the approach of cross-layer optimization. However, video content and user perceived quality have been largely ignored in existing work. In this paper, we integrate video content analysis into video transport over wireless mesh networks (WMN). A content-aware quality-driven cross-layer optimization framework is proposed to achieve the best end-to-end user perceived video quality. In our framework, the extracted video regions of interest (ROI) are discriminatingly coded, transmitted and protected in video encoding, network routing and packet scheduling by different network layers. We aim at the optimization of key parameters of each layer while focusing on their interactions across the holistic network protocol stack. The proposed framework is evaluated by H.264/AVC codec and WMN simulations. Experimental results demonstrate that the proposed framework can effectively provide a good user perceived video quality, especially when the delay requirement is stringent.

Original languageEnglish (US)
Title of host publication2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Pages1810-1814
Number of pages5
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE Global Telecommunications Conference, GLOBECOM 2008 - New Orleans, LA, United States
Duration: Nov 30 2008Dec 4 2008

Other

Other2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
CountryUnited States
CityNew Orleans, LA
Period11/30/0812/4/08

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Quality-driven optimization for content-aware real-time video streaming in wireless mesh networks'. Together they form a unique fingerprint.

Cite this