Novel inter and intra prediction tools under consideration for the emerging AV1 video codec

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

doi:10.1117/12.2274022

19 September 2017 Novel inter and intra prediction tools under consideration for the emerging AV1 video codec

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

Author Affiliations +

Proceedings Volume 10396, Applications of Digital Image Processing XL; 103960F (2017) https://doi.org/10.1117/12.2274022
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

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Urvang Joshi, Debargha Mukherjee, Jingning Han, Yue Chen, Sarah Parker, Hui Su, Angie Chiang, Yaowu Xu, Zoe Liu, Yunqing Wang, Jim Bankoski, Chen Wang, and Emil Keyder "Novel inter and intra prediction tools under consideration for the emerging AV1 video codec", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103960F (19 September 2017); https://doi.org/10.1117/12.2274022

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