Events

PhD Defense: "Estimation-Theoretic Approaches in Video Compression and Networking"

Jingning Han

November 28th (Wednesday), 10:00am
Harold Frank Hall, Room 4164 (ECE Conference Room)


This work considers estimation-theoretic approaches in video coding and networking, with particular focus on transform and predictive coding, scalable coding and error resilient communication. One main line of research is concerned with the interactions between predictive and transform coding modules in video and image compression, and means to exploit such inter-dependencies to achieve joint optimality and thereby substantial performance gains. Given the unitary transforms employed in conventional motion-compensated video coding, the underlying process can be equivalently modeled as a set of parallel, largely uncorrelated auto-regressive processes in the appropriate transform domain. This point of view eliminates spatial correlations from temporal predictive coding, and hence opens the door to fully account for and exploit the effects of quantization in the motion-compensated prediction loop. Building on this paradigm, we derive several advanced techniques within an estimation-theoretic framework, by incorporating information that emerges only in the transform domain, including optimal delayed decoding and efficient prediction in scalable video coding. A complementary end-to-end distortion estimation technique that operates in the transform domain extends the applicability of the above source coding techniques to applications involving communication over lossy networks.

About Jingning Han:

photo of jingning han Jingning Han obtained the bachelor degree in Electrical Engineering from Tsinghua University in 2007, and the M.S. in Electrical and Computer Engineering from the University of California Santa Barbara in 2008. He is currently pursuing his Ph.D. at the same institute, under the guidance of Prof. Kenneth Rose. He has interned in Ericsson Inc., Technicolor Inc., and Google Inc. His research interests include video compression and networking.

Mr. Han won the outstanding teaching assistant awards from the Department of Electrical and Computer Engineering at University of California Santa Barbara, in 2010 and 2011. He was the recipient of the Best Student Paper Award at the IEEE International Conference on Multimedia and Expo (ICME) 2012.

Hosted by: Professor Kenneth Rose