基于快速HEVC视频压缩技术的视频云游戏优化

Q3 Computer Science

International Journal of Advances in Soft Computing and its Applications Pub Date : 2021-11-28 DOI:10.15849/ijasca.211128.16

Mosa Salah, Ahmad A. Mazhar, M. Mizher

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引用次数: 0

摘要

云计算是一种技术模型，它提供了对具有高级服务能力的系统资源的访问。这些资源对于多种类型的应用程序和用户来说是可靠、灵活和负担得起的。随着许多新的云游戏设计的出现，游戏制造是扩大云计算利润的一个领域。基于传统网络游戏的改进，云游戏的许多优势夸大了游戏的成功。然而，云游戏也存在一些缺点，例如需要大量的视频处理和所需的计算复杂性。本文针对原有系统的不足，提出了一种新颖的算法，通过利用块类型和位置来降低计算复杂度，从而加快了编码过程。视频编解码器的改进使整体编码时间加快了12.2%，用户满意度略有下降。关键词:云游戏，计算复杂度，运动估计，HEVC，视频编码

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimization of Video Cloud Gaming Using Fast HEVC Video Compression Technique

Cloud computing is a model of technology that offers access to system resources with advanced level of services ability. These resources are measured reliable, flexible and affordable for several kinds of applications and users. Gaming manufacturing is one filed that expands the profits of cloud computing as numerous new cloud gaming designs have been presented. Many advantages of cloud gaming have exaggerated the success of gaming based on the improvements on traditional online gaming. Though, cloud gaming grieves from several downsides such as the massive amount of needed video processing and the computational complexity required for that. This paper displays the original system drawbacks and develops a new and original algorithm to speed up the encoding process by reduces the computational complexity by exploiting the block type and location. Enhancements on the video codec led to 12.2% speeding up on the over-all encoding time with slight loss of users’ satisfactions. Keywords: Cloud gaming, Computational complexity, Motion estimation, HEVC, Video Encoding

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来源期刊

International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.