Benchmarking hardware and software encoder quality and performance

Hassene Tmar; Ping-Hao Wu; Cosmin Stejerean; Zhijun Lei; Ioannis Katsavounidis

doi:10.1117/12.3031754

30 September 2024 Benchmarking hardware and software encoder quality and performance

Hassene Tmar, Ping-Hao Wu, Cosmin Stejerean, Zhijun Lei, Ioannis Katsavounidis

Proceedings Volume 13137, Applications of Digital Image Processing XLVII; 131370W (2024) https://doi.org/10.1117/12.3031754
Event: Optical Engineering + Applications, 2024, San Diego, California, United States

Abstract

In this paper, we present a methodology for benchmarking the coding efficiency and energy efficiency of software and hardware video transcoding implementations. This study builds upon our previous work, which focused on software encoders such as x264, x265, libvpx, vvenc, and SVT-AV1. We have since added a closed-source video software encoder implementation, EVE-VP9, as well as Meta’s MSVP VP9 encoder as a hardware representative, and expanded the test set to include a wider variety of test content in our analysis. To ensure a fair comparison between software and hardware encoders, we normalize the video encoding efficiency to energy used in watt-hours. Our proposed test methodology includes a detailed description of the process for measuring compression efficiency and energy consumption. We summarize limitations of our methodology and identify future opportunities for improvement.

Conference Presentation

Citation Download Citation

Hassene Tmar, Ping-Hao Wu, Cosmin Stejerean, Zhijun Lei, and Ioannis Katsavounidis "Benchmarking hardware and software encoder quality and performance", Proc. SPIE 13137, Applications of Digital Image Processing XLVII, 131370W (30 September 2024); https://doi.org/10.1117/12.3031754

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