Adaptive quantization parameter selection for low-delay HEVC via temporal propagation length estimation
作者：
Highlights：
• We present an adaptive frame-level QP selection algorithm for the hierarchical coding structure in low-delay (LD) HEVC.
• Experimental results show that our method achieves considerable BD-rate savings for LD HEVC all with insignificant increases in encoding time.
• Results show that our proposed method can provide considerable coding efficiency improvements for video conferencing sequences in specific.
• Our algorithm and results piqued the serious interest of companies (Google in specific) in adopting the proposed LD adaptive QP algorithm in their systems.
摘要
•We present an adaptive frame-level QP selection algorithm for the hierarchical coding structure in low-delay (LD) HEVC.•Experimental results show that our method achieves considerable BD-rate savings for LD HEVC all with insignificant increases in encoding time.•Results show that our proposed method can provide considerable coding efficiency improvements for video conferencing sequences in specific.•Our algorithm and results piqued the serious interest of companies (Google in specific) in adopting the proposed LD adaptive QP algorithm in their systems.
论文关键词：Rate–distortion optimization (RDO),Low-delay,HEVC,Quantization parameter (QP),Temporal propagation length,Lagrangian multiplier
论文评审过程：Received 22 July 2019, Revised 14 February 2020, Accepted 2 March 2020, Available online 12 March 2020, Version of Record 18 March 2020.
论文官网地址：https://doi.org/10.1016/j.image.2020.115826
