High-Efficiency Video Coding (HEVC) is the standard employed for the subsequent compressing of the video without degrading the quality of the image. HEVC renders effective performance compared to the existing compression standards as the encoding time is minimal. With the concern for quality and video compression, this paper proposes a modified version for HEVC encoding using the Ordered Tree-based Hex-Octagon based block Search and Rate-Distortion trade-off (OrTHO-Search-based RD) for motion estimation and weighted Context-Adaptive Binary Arithmetic Coding (CABAC). The proposed OrTHO-Search-based RD-dependent HEVC renders a good-quality video after compression with half the compression standard when compared with the other existing compression standards. In the motion estimation block, the OrTHO-Search is employed with a new RD trade-off in such a way that the Conditional Autoregressive Value at Risk concept modifies the existing RD trade-off measure. The bit rates of the proposed method are reduced with effective coding. The experimentation and analysis of the methods are performed using four videos from CIPR SIF Sequences and one video from Xiph.org Video Test Media datasets and the analysis based on Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), reveals that the proposed method acquired the maximal PSNR of 45.1132 dB, maximal SSIM of 0. 9918, and minimal computational time of 0.2135 min.

高效视频编码（HEVC）是在不降低图像质量的情况下对视频进行后续压缩所采用的标准。与现有的压缩标准相比，HEVC可以提供有效的性能，因为编码时间最短。考虑到质量和视频压缩，本文提出了一种基于HEV编码的改进版本，该编码使用基于顺序树的六边形八边形的块搜索和率失真折衷（基于OrTHO-Search的RD）进行运动估计和加权上下文自适应二进制算术编码（CABAC）。与其他现有的压缩标准相比，建议的基于OrTHO-Search的RD依赖的HEVC在压缩后以一半的压缩标准呈现高质量的视频。在运动估计块中，OrTHO-Search与新的RD折衷方法结合使用，以使“条件自回归风险价值”概念修改了现有的RD折衷方法。通过有效的编码减少了所提出的方法的比特率。使用来自CIPR SIF序列的四个视频和来自Xiph.org视频测试媒体数据集的一个视频，并基于峰信噪比（PSNR），结构相似性指数（SSIM），揭示了所提出的方法获得了45.1132 dB的最大PSNR，0。9918的最大SSIM和0.2135分钟的最小计算时间。