RDO CANDIDATE SELECTION FOR MAXIMIZING CODING EFFICIENCY IN A PRACTICAL HEVC ENCODER

High Efficiency Video Coding (HEVC) creates the conditions for economic video transmission and storage but making most of its compression potential calls for effective rate-distortion optimization (RDO) techniques in practical HEVC encoders. This paper explores the effectiveness of the following universally applicable RDO techniques: 1) rough mode decision for intra RDO candidate selection; 2) number of intra and inter RDO search candidates; and 3) accurate bit cost estimation in entropy coding. All these techniques are implemented into Kvazaar open-source HEVC encoder and altogether they improve the coding efficiency of Kvazaar veryslow preset by 5.7%, 4.0%, and 7.1% with PSNR, SSIM, and VMAF quality metrics, respectively. Even though the proposed techniques reduce the coding speed of Kvazaar to 0.64×, Kvazaar is still, on average, 2.16× as fast as the x265 encoder and attains 12.4%, 22.3%, and 4.7% better coding gain for the same PSNR, SSIM, and VMAF quality, respectively. These results let us conclude that Kvazaar is currently the leading practical open-source solution for high-quality HEVC encoding.