2008 Poster Sessions : Video Multicast over Wireless Networks with Scalable Video Coding (SVC)

Student Name : Xiaoqing Zhu
Advisor : Bernd Girod
Research Areas: Information Systems
Abstract
We address the problem of rate allocation for video multicast over wireless mesh networks. An optimization framework is established to incorporate the effects of heterogeneity in wireless link capacities, traffic contention among neighboring links and different video distortion-rate characteristics. We present a distributed rate allocation scheme with the goal of minimizing total video distortion of all peers without excessive network utilization. The scheme relies on cross-layer information exchange between the MAC and application layers. It adopts the scalable video coding (SVC) extensions of H.264/AVC for video rate adaptation, so that graceful quality reduction can be achieved at intermediate nodes within each multicast tree. The performance of the proposed scheme is compared with a heuristic scheme based on TCP-Friendly Rate Control (TFRC) for individual peers. Network simulation results show that the proposed scheme tends to allocate higher rates for peers experiencing higher link speeds, leading to higher overall video quality than the TFRC-based heuristic scheme.

Bio
Xiaoqing Zhu received the B.E. degree in Electronics Engineering in 2001 from Tsinghua University in China. She received the M.S. degree in Electrical Engineering in 2002 from Stanford University in California, USA, where she is currently a Ph.D. candidate. She is recipient of the Stanford Graduate Fellowship from 2001 to 2005 and has worked on several research projects granted by National Science Foundation (NSF). For the summer of 2003, she was with I.B.M. Almaden Research Center, working on intelligent document extraction and analysis.
She spent the summer of 2006 interning at Sharp Labs of America, working on distributed resource allocation for media streaming over wireless home networks, which remains her current research interest.