Debargha Mukherjee and Jingning Han, Video Codec Engineers, Google Research
Google has recently finalized a next generation open-source video codec called VP9, as part of the libvpx repository of the WebM project (http://www.webmproject.org/). Starting from the VP8 video codec released by Google in 2010 as the baseline, many enhancements and new tools were added, resulting in the next-generation bit-stream VP9. The open-source project has since moved to the next phase – namely efficient implementation of the encoder and decoder for various use-cases. The talk will provide an overview of the coding tools included in VP9, along with the rationale for their inclusion. Coding results comparing VP9 to other state-of-the-art video codecs – H.264/AVC and HEVC – on standard test sets will also be provided. Further, the workshop will provide pointers on how interested parties can be involved with the WebM project and contribute either to the master VP9 branch or a divergent experimental branch that may eventually become a future-generation codec.
About Debargha Mukherjee and Jingning Han:
Debargha Mukherjee received the MS and PhD degrees in ECE from the University of California Santa Barbara in 1995 and 1999, respectively. Between 1999 and 2010 he was in Hewlett Packard Laboratories conducting research on video and image coding and processing. Since 2010 he has been with Google Inc., where he is currently involved with open-source video codec development. Prior to that he was responsible for video quality control and 2D to 3D conversion on YouTube. Debargha's research interests are in signal/image processing, image and video compression, and information theory. He has authored/co-authored more than 75 papers on these topics, and holds more than 20 US patents. He was a keynote speaker at the SPIE Stereoscopic Displays and Applications conference, and the CVPR 3D Cinematography workshop - both in 2012 - to talk about YouTube's 2D to 3D conversion service. He currently serves as Associate Editors of the IEEE Transactions on Image Processing, and the SPIE Journal of Electronic Imaging.
Jingning Han obtained his B.E. in Electrical Engineering from Tsinghua University in 2007, and M.S. and Ph.D. degrees in Electrical and Computer Engineering from University of California Santa Barbara in 2012. He then joined the WebM codec team at Google Inc. His research interests include video compression, scalable coding, and stream networking. He received an outstanding teaching assistant awards and a dissertation fellowship from the Department of Electrical and Computer Engineering at UC Santa Barbara, and a best student paper award at the International Conference on Multimedia and Expo (ICME) 2012.
Hosted by: Professor Kenneth Rose, Signal Compression Lab