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Proceedings Paper

Novel inter and intra prediction tools under consideration for the emerging AV1 video codec
Author(s): Urvang Joshi; Debargha Mukherjee; Jingning Han; Yue Chen; Sarah Parker; Hui Su; Angie Chiang; Yaowu Xu; Zoe Liu; Yunqing Wang; Jim Bankoski; Chen Wang; Emil Keyder
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Paper Abstract

Google started 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 to cope with the growing demand for video on the web, the WebM team embarked on an ambitious project to develop a next edition codec AV1, in a consortium of major tech companies called the Alliance for Open Media, that achieves at least a generational improvement in coding efficiency over VP9. In this paper, we focus primarily on new tools in AV1 that improve the prediction of pixel blocks before transforms, quantization and entropy coding are invoked. Specifically, we describe tools and coding modes that improve intra, inter and combined inter-intra prediction. Results are presented on standard test sets.

Paper Details

Date Published: 19 September 2017
PDF: 13 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103960F (19 September 2017); doi: 10.1117/12.2274022
Show Author Affiliations
Urvang Joshi, Google, Inc. (United States)
Debargha Mukherjee, Google, Inc. (United States)
Jingning Han, Google, Inc. (United States)
Yue Chen, Google, Inc. (United States)
Sarah Parker, Google, Inc. (United States)
Hui Su, Google, Inc. (United States)
Angie Chiang, Google, Inc. (United States)
Yaowu Xu, Google, Inc. (United States)
Zoe Liu, Google, Inc. (United States)
Yunqing Wang, Google, Inc. (United States)
Jim Bankoski, Google, Inc. (United States)
Chen Wang, Google, Inc. (United States)
Emil Keyder, Google, Inc. (United States)

Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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