High-efficiency video coding (HEVC), a video compression method is considered as the most capable descendant of the extensively deployed advanced VC (AVC). Compared with AVC, HEVC provides about twice the data compression ratio at the similar video quality level or considerably enhanced video quality at an equal bit rate. This paper proposes a novel enhanced holoentropy model for proficient systems for distributed VC (DVC). HEVC standard is considered as an archetypal system. The main contribution of this paper is the accomplishment of the encoding process in the HEVC system by enhanced holoentropy, which is linked with the proposed weighting tansig function. It necessitates considerable development when handling video sequences with high resolution. The pixel deviations under altering frames are grouped based on interest, and the outliers are eliminated with the aid of an enhanced entropy standard known as enhanced holoentropy. Here, the weight of tansig function is optimally tuned by whale optimization algorithm. To next of implementation, the suggested encoding scheme is compared with the conventional schemes concerning the number of compressed bits and computational time. By carrying out the encoding process, it reduces the video size with perceptually improved video quality or PSNR.

中文翻译：

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通过鲸鱼优化增强基于全熵的编码以实现高效视频编码

高效视频编码 (HEVC) 是一种视频压缩方法，被认为是广泛部署的高级 VC (AVC) 最强大的后代。与 AVC 相比，HEVC 在类似的视频质量水平下提供大约两倍的数据压缩率，或者在相同的比特率下显着提高视频质量。本文为分布式VC（DVC）的熟练系统提出了一种新颖的增强型全熵模型。HEVC 标准被认为是一个原型系统。本文的主要贡献是通过增强的全熵完成 HEVC 系统中的编码过程，这与所提出的加权 tansig 函数相关联。在处理高分辨率视频序列时，它需要相当大的发展。改变帧下的像素偏差根据兴趣分组，并且在称为增强全熵的增强熵标准的帮助下消除异常值。在这里，tansig 函数的权重通过鲸鱼优化算法进行了最佳调整。在接下来的实施中，将建议的编码方案与有关压缩位数和计算时间的传统方案进行比较。通过执行编码过程，它减少了视频大小，同时提高了视频质量或 PSNR。