A High-Performance Parallel Approach to Image Processing in Distributed Computing

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI:10.1109/AICT50176.2020.9368840

M. Rakhimov, Doniyor Mamadjanov, Abulkosim Mukhiddinov

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引用次数: 8

Abstract

Digital image processing is an actual task in the digital communication systems, IP-telephony and video conferencing, in digital television, and video surveillance. Digital processing of large video images takes a lot of time, especially if it happens in a real-time system. And, processing speed plays an important role in recognition of objects in video images received from IP-cameras in real time. This requires the use of modern technologies, and fast algorithms that increase the acceleration of digital image processing. Acceleration problems have not been fully resolved till present. Today's realities are such that the development of accelerated image processing programs requires a good knowledge of parallel and distributed computing. Both of these areas are united by the fact that both parallel and distributed software consists of several processes that together solve one common problem. This article proposes an accelerated method for the tasks of recognizing objects in video images received from IP-cameras using parallel and distributed computing technologies

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分布式计算中图像处理的高性能并行方法

数字图像处理是数字通信系统、ip电话和视频会议、数字电视和视频监控中的一项实际任务。大型视频图像的数字处理需要花费大量的时间，特别是在实时系统中。处理速度对实时接收到的ip摄像机视频图像的目标识别起着至关重要的作用。这需要使用现代技术和快速算法来增加数字图像处理的加速。加速问题到目前为止还没有完全解决。今天的现实是这样的，加速图像处理程序的发展需要并行和分布式计算的良好知识。并行和分布式软件都是由几个共同解决一个共同问题的过程组成的，这一事实将这两个领域联系在一起。本文提出了一种利用并行和分布式计算技术对ip摄像机接收的视频图像中的目标进行快速识别的方法

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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2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)

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