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

被引：7
|
作者：
Rakhimov, Mekhriddin [1 ]
Mamadjanov, Doniyor [1 ]
Mukhiddinov, Abulkosim [1 ]
机构：
[1] Tashkent Univ Informat Technol, Dept Comp Engn, Tashkent, Uzbekistan
来源：
2020 IEEE 14TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT2020) | 2020年
关键词：
parallel computing; distributed computing; multi-core processor; ZeroMQ; multiprocessing; spectral analysis of an image; fast messaging; MPI; OpenMP;
D O I：
10.1109/AICT50176.2020.9368840
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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
引用
收藏
页数：5
相关论文
共 50 条
  • [21] High-performance computing service over the Internet for intraoperative image processing
    Kawasaki, Y
    Ino, F
    Mizutani, Y
    Fujimoto, N
    Sasama, T
    Sato, Y
    Sugano, N
    Tamura, S
    Hagihara, K
    [J]. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2004, 8 (01): : 36 - 46
  • [22] A High Performance MPI for Parallel and Distributed Computing
    Prabu, D.
    Vanamala, V.
    Deka, Sanjeeb Kumar
    Sridharan, R.
    Prahlada, Rao B. B.
    Mohanrarn, N.
    [J]. PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 17, 2006, 17 : 310 - 313
  • [23] SSCCIP - A Framework for Building Distributed High-Performance Image Processing Technologies
    Rusin, Evgeny V.
    [J]. PARALLEL COMPUTING TECHNOLOGIES, 2011, 6873 : 467 - 472
  • [24] HIGH-PERFORMANCE DISTRIBUTED TRANSACTION PROCESSING IN A GENERAL-PURPOSE COMPUTING ENVIRONMENT
    SPECTOR, AZ
    EPPINGER, JL
    DANIELS, DS
    DRAVES, R
    BLOCH, JJ
    DUCHAMP, D
    PAUSCH, RF
    THOMPSON, D
    [J]. LECTURE NOTES IN COMPUTER SCIENCE, 1989, 359 : 220 - 242
  • [25] High-performance computing in image registration
    Zanin, Michele
    Remondino, Fabio
    Dalla Mura, Mauro
    [J]. HIGH-PERFORMANCE COMPUTING IN REMOTE SENSING II, 2012, 8539
  • [26] PARALLEL PROCESSING MEANS HIGH-PERFORMANCE
    THURBER, KJ
    [J]. DATA MANAGEMENT, 1979, 17 (01): : 40 - 44
  • [27] Optimization of checkpointing-related I/O for high-performance parallel and distributed computing
    Subramaniyan, Rajagopal
    Grobelny, Eric
    Studham, Scott
    George, Alan D.
    [J]. JOURNAL OF SUPERCOMPUTING, 2008, 46 (02): : 150 - 180
  • [28] Optimization of checkpointing-related I/O for high-performance parallel and distributed computing
    Rajagopal Subramaniyan
    Eric Grobelny
    Scott Studham
    Alan D. George
    [J]. The Journal of Supercomputing, 2008, 46 : 150 - 180
  • [29] High-performance parallel bio-computing
    Huang, CH
    [J]. PARALLEL COMPUTING, 2004, 30 (9-10) : 999 - 1000
  • [30] Towards Portable Large-Scale Image Processing with High-Performance Computing
    Huo, Yuankai
    Blaber, Justin
    Damon, Stephen M.
    Boyd, Brian D.
    Bao, Shunxing
    Parvathaneni, Prasanna
    Noguera, Camilo Bermudez
    Chaganti, Shikha
    Nath, Vishwesh
    Greer, Jasmine M.
    Lyu, Ilwoo
    French, William R.
    Newton, Allen T.
    Rogers, Baxter P.
    Landman, Bennett A.
    [J]. JOURNAL OF DIGITAL IMAGING, 2018, 31 (03) : 304 - 314
12345