4.6 Article

Comparative Rate-Distortion-Complexity Analysis of VVC and HEVC Video Codecs

期刊

IEEE ACCESS
卷 9, 期 -, 页码 67813-67828

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3077116

关键词

Common test conditions (CTC); HEVC test model (HM); high efficiency video coding (HEVC); objective quality analysis; performance profiling; rate-distortion-complexity (RDC); UVG dataset; versatile video coding (VVC); video codec; VVC test model (VTM)

资金

  1. Academy of Finland [301820]

向作者/读者索取更多资源

This study evaluates the coding efficiency improvement of VTC over HM, which comes with increased encoding complexity, and finds that VTC achieves significant efficiency gains in AI, RA, and LB conditions.
Versatile Video Coding (VVC/H.266) is the next-generation international video coding standard and a successor to the widespread High Efficiency Video Coding (HEVC/H.265). This paper analyzes the rate-distortion-complexity characteristics of the VVC reference software (VTM10.0) by using HEVC reference software (HM16.22) as an anchor. In this independent study, the rate-distortion performance of VTM was benchmarked against HM with the objective PSNR, SSIM, and VMAF quality metrics and the associated encoder and decoder complexities were profiled at function level using Intel VTune Profiler on Intel Xeon E5-2699 v4 22-core processors. For a fair comparison, all our experiments were conducted under the VTM common test conditions (CTC) that define 10-bit configurations of the VTM codec for the addressed All Intra (AI), Random Access (RA), and Low Delay B (LB) conditions. The VTM CTC test set was also extended with complementary 4K UHD sequences to elaborate RD characteristics with higher resolutions. According to our evaluations, VTM improves the average coding efficiency over HM, depending on quality metric, by 23.0-23.9% under the AI condition, 33.1-36.6% under the RA condition, and 26.7-29.5% under the LB condition. However, the coding gain of VTM comes with 34.0x, 8.8x, and 7.5x encoding complexity over that of HM under the AI, RA, and LB conditions, respectively. The corresponding overhead of the VTM decoder stays steady at 1.8x across all conditions. This study also pinpoints the most complex parts of the VTM codec and discusses practical implementation aspects of prospective real-time VVC encoders and decoders.

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