ABSTRACT In recent times, the applications of multimedia are rising in a greedy mode and hence the amount of video transactions is also increasing exponentially. This has shouted great demands on effective models on video encoding and also for reducing the transmission channel congestion. This research work introduces a managing technique termed weighted encoding for High-Efficiency Video Coding (HEVC). HEVC, also termed as MPEG-H Part 2 and H.265 is a video compression standard that is widely utilized AVC (H.264 or MPEG-4 Part 10). When compared to AVC, HEVC grants double the ratio of data compression at a similar level of quality of the video or considerably enhanced video quality at a similar bit rate. This work intends to optimize the weight that adopted in HEVC for encoding. For this, this paper proposes a new Iterative based propagation update in the water wave Optimization Algorithm (IPU-WWO), which is the improved form of Water wave Optimization (WWO). The performance of proposed IPU-WWO is compared over other conventional methods like Artificial Bee Colony (ABC), Firefly (FF), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) with respect to Peak Signal to Noise Ratio (PSNR). By doing the encoding process, it minimizes the video size with perceptually better quality video or PSNR.

中文翻译：

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用于视频压缩的最佳加权全熵：一种先进的 HEVC

摘要 近年来，多媒体的应用以贪婪的方式上升，因此视频交易量也呈指数级增长。这对有效的视频编码模型以及减少传输通道拥塞提出了很高的要求。这项研究工作介绍了一种称为高效视频编码 (HEVC) 加权编码的管理技术。HEVC，也称为 MPEG-H Part 2 和 H.265 是一种视频压缩标准，广泛使用 AVC（H.264 或 MPEG-4 Part 10）。与 AVC 相比，HEVC 在视频质量相似的情况下提供两倍的数据压缩比，或在相似的比特率下显着提高视频质量。这项工作旨在优化 HEVC 中采用的编码权重。为了这，本文在水波优化算法（IPU-WWO）中提出了一种新的基于迭代的传播更新，它是水波优化（WWO）的改进形式。在峰值信噪比 (PSNR) 方面，将提议的 IPU-WWO 的性能与人工蜂群 (ABC)、萤火虫 (FF)、粒子群优化 (PSO) 和遗传算法 (GA) 等其他传统方法进行比较。通过进行编码过程，它最大限度地减少了视频大小，同时提供了更好的视频质量或 PSNR。关于峰值信噪比 (PSNR) 的粒子群优化 (PSO) 和遗传算法 (GA)。通过进行编码过程，它最大限度地减少了视频大小，同时提供了更好的视频质量或 PSNR。关于峰值信噪比 (PSNR) 的粒子群优化 (PSO) 和遗传算法 (GA)。通过进行编码过程，它最大限度地减少了视频大小，同时提供了更好的视频质量或 PSNR。