Member of Technical Staff , Video Codec Specialist
Dr. Debargha Mukherjee received his M.S./Ph.D. degrees in ECE from University of California Santa Barbara in 1999. Thereafter, through 2009 he was with Hewlett Packard Laboratories, conducting research on video/image coding and processing. Since 2010 he has been with Google Inc., where he is currently involved with open-source video codec research and development. Prior to that he was responsible for video quality control and 2D-3D conversion on YouTube. Debargha has authored/co-authored more than 100 papers on various signal processing topics, and holds more than 60 US patents, with many more pending. He has delivered many workshops and talks on Google's royalty-free line of codecs and recently AV1 since 2012. He currently serves as an Associate Editor of the IEEE Trans. on Circuits and Systems for Video Technology and has previously served as Associate Editor of the IEEE Trans. on Image Processing; He is also a member of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC).
演讲：From VP9 to AV1 and beyond
2018-10-19 09:05 - 09:50
Google embarked on the WebM Project in 2010 to develop open source, royalty-free video codecs designed specifically for media on the Web. The second generation codec released by the WebM project, VP9, is currently served by YouTube, and enjoys billions of views per day. Realizing the need for even greater compression efficiency and to cope with the ever-increasing demand for video on the web, Google joined a consortium of major tech companies called the Alliance for Open Media in 2016, and started an ambitious project to develop a next generation royalty-free codec AV1. AV1 was finalized in June 2018, and achieves about an one-third reduction in bandwidth over current generation codecs VP9 and HEVC at a practical hardware and software complexity. This makes AV1 the most advanced video codec available today that is also royalty-free. In this talk, I will provide a technical overview of the most innovative coding tools in AV1, followed by coding results on standard test sets compared against VP9 and HEVC.