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Performance comparison of AV1, JEM, VP9, and HEVC encoders (Conference Presentation)
Author(s): Dan Grois; Tung Nguyen; Detlev Marpe

Paper Abstract

This work presents a performance evaluation of the current status of two distinct lines of development in future video coding technology: the so-called AV1 video codec of the industry-driven Alliance for Open Media (AOM) and the Joint Exploration Test Model (JEM), as developed and studied by the Joint Video Exploration Team (JVET) on Future Video Coding of ITU-T VCEG and ISO/IEC MPEG. As a reference, our study also includes reference encoders of the respective starting points of development, as given by the first encoder release of AV1/VP9 for the AOM-driven technology, and the HM reference encoder of the HEVC standard for the JVET activities. For a large variety of video sources ranging from UHD over HD to 360° video content, the compression capability of the different video coding technology has been evaluated by using a Random Access scenario along with the JVET common test conditions. As an outcome of our study, it was observed that the latest AV1 release achieved average bit-rate savings of around 12% relative to VP9 at the expense of a factor of 46 in encoder run-time. On the other hand, the latest JEM release provides an average bit-rate saving of around 28% relative to HM with a factor of approximately 10 in encoder run-time. When directly comparing AV1 and JEM for static quantization parameter settings, AV1 produces an average bit-rate overhead of more than 95% relative to JEM at the same objective reconstruction quality and a factor of approximately 1.5 in encoder run-time. Even when operated in a two-pass rate control mode, AV1 shows a significantly inferior compression performance relative to that of the one-pass JEM encoder for a static quantization configuration.

Paper Details

Date Published: 19 September 2017
PDF
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103960L (19 September 2017); doi: 10.1117/12.2283428
Show Author Affiliations
Dan Grois, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
Tung Nguyen, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
Detlev Marpe, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)


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

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