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DDS based real-time image monitoring distributed system

Published: 19 December 2019 Publication History
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  • Abstract

    In recent years, computer technology, network communication technology, multimedia technology continues to develop. This puts forward higher requirements for video monitoring system which plays an important role in the security field. This paper proposes a DirectShow+Opendds based monitoring and acquisition publishing and subscription system. In the system, the publisher is responsible for collecting, compressing and transmitting video. Subscribers make requests in the communication network, and the centralized discovery server completes the transmission after matching the publishing data type of the same topic.

    References

    [1]
    Kan Yang, Kuan Zhang, Xiaohua Jia, M Anwar Hasan and Xuemin (Sherman) Shen (2017). Privacy-preserving attribute-keyword based data publish-subscribe service on cloud platforms. Information Sciences, 17(5), 7--13.
    [2]
    Agnese V Ventrella, Giuseppe Piro and L Alfredo Grieco (2017). Publish-subscribe in mobile information centric networks: modeling and performance evaluation, Computer Networks, 17(3), 8--12.
    [3]
    MBill Karakostas (2018). Cooperative intermodal operations using a publish-subscribe approach. Procedia Computer Science, 11--14.
    [4]
    Mehdi Lotfi, Seyed Ahmad Motamedi and Saeed Sharifian (2019). Time-based feedback-control framework for real-time video surveillance systems with utilization control. Journal of Real-Time Image Processing, 16(4), 4--10.
    [5]
    Seungwon Jung, Yongsung Kim and Eenjun Hwang (2018). Real-time car tracking system based on surveillance videos, EURASIP. Journal on Image and Video Processing, 2018(1), 1--10.

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    cover image ACM Other conferences
    AIIPCC '19: Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing
    December 2019
    464 pages
    ISBN:9781450376334
    DOI:10.1145/3371425
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • ASciE: Association for Science and Engineering

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 December 2019

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    Author Tags

    1. DirectShow
    2. opendds
    3. publish/subscribe
    4. video surveillance system

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    • Research-article

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    AIIPCC '19
    Sponsor:
    • ASciE

    Acceptance Rates

    AIIPCC '19 Paper Acceptance Rate 78 of 211 submissions, 37%;
    Overall Acceptance Rate 78 of 211 submissions, 37%

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