Skip to main content
SpringerLink
Log in
Book cover

International Conference on Computer Science, Engineering and Education Applications

ICCSEEA 2018: Advances in Computer Science for Engineering and Education pp 301–308Cite as

Video Data Compression Methods in the Decision Support Systems

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 754))

Abstract

The paper presents the developed methods of video data compression and decompression providing the maximum degree of intersecting information flows of critical video information at the given quality levels of digital video images. Due to the developed methods, mathematical models and techniques, the technology of video data compression has been improved on the basis of reducing the structural redundancy under limited loss of visualization quality. The proposed technology provides an increased level of effective functioning of communication channels and critical video information processing, as well as presents an opportunity for information support and improved quality of decision-making in crisis situations.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Rees, L.P., Deane, J.K., Rakes, T.R., Baker, W.H.: Decision support for cybersecurity risk planning. Decis. Support Syst. 51(3), 493–505 (2011)

    Article  Google Scholar 

  2. Lai, C.L., Chen, Y.S.: The application of intelligent system to digital image forensics. In: 2009 International Conference on Machine Learning and Cybernetics, vol. 5, pp. 2991–2998. IEEE (2009)

    Google Scholar 

  3. Yudin, O., Boiko, Y., Frolov, O.: Organization of decision support systems for crisis management. In: Problems of Infocommunications Science and Technology (PIC S&T), 2015 Second International Scientific-Practical Conference, pp. 115–117. IEEE (2015)

    Google Scholar 

  4. Tank, D.M.: Enable better and timelier decision-making using real-time business intelligence system. Int. J. Inf. Eng. Electron. Bus. (IJIEEB) 7(1), 43–48 (2015). https://doi.org/10.5815/ijieeb.2015.01.06

    Article  Google Scholar 

  5. Kumari, N., Agarwal, A.: A review on wireless data center management. Int. J. Comput. Appl. 138(13) (2016)

    Article  Google Scholar 

  6. Cuzzocrea, A., Song, I.Y., Davis, K.C.: Analytics over large-scale multidimensional data: the big data revolution! In: Proceedings of the ACM 14th International Workshop on Data Warehousing and OLAP, pp. 101–104. ACM (2011)

    Google Scholar 

  7. Shang, J., Ding, W., Shi, Y., Sun, Y.: Fast intra mode decision algorithm based on texture direction detection for H.264/AVC. Int. J. Educ. Manage. Eng. (IJEME) 1(5), 70–77 (2011). https://doi.org/10.5815/ijeme.2011.05.12

    Article  Google Scholar 

  8. Lakhno, V., Boiko, Y., Akhmetov, B., Mishchenko, A.: Designing a decision support system for the weakly formalized problems in the provision of cybersecurity. Eastern Eur. J. Enterpr. Technol. 1(2(85)), 4–15 (2017). https://doi.org/10.15587/1729-4061.2017.90506

  9. Garae, J., Ko, R.K.L.: Visualization and data provenance trends in decision support for cybersecurity. In: Palomares Carrascosa, I., Kalutarage, H., Huang, Y. (eds.) Data Analytics and Decision Support for Cybersecurity, Data Analytics, pp. 243–270. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59439-2_9

    Chapter  Google Scholar 

  10. Ziubina, R., Boiko, Yu.: Video data compression methods in the aviation crisis management. Inżynier XXI wieku: VI Międzynarodowa Konferencja Studentów oraz Doktorantów. 73 (2016)

    Google Scholar 

  11. Jaiswal, S., Dhavale, S.: Video forensics in temporal domain using machine learning techniques. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 5(9), 58–67 (2013). https://doi.org/10.5815/ijcnis.2013.09.08

    Article  Google Scholar 

  12. Kaushik, M.: Comparative analysis of exhaustive search algorithm with ARPS algorithm for motion estimation. Int. J. Appl. Inf. Syst. (IJAIS) 1(6), 16–19 (2012)

    Google Scholar 

  13. Nayak, A., Biswal, B., Sabut, S.K.: Evaluation and comparison of motion estimation algorithms for video compression. Int. J. Image Graph. Signal Process. (IJIGSP) 5(10), 9–18 (2013). https://doi.org/10.5815/ijigsp.2013.10.02

    Article  Google Scholar 

  14. Jeengar, V., Omkar, S.N., Singh, A., Yadav, M.K., Keshri, S.: A review comparison of wavelet and cosine image transforms. IJIGSP 4(11), 16–25 (2012). https://doi.org/10.5815/ijigsp.2012.11.03

    Article  Google Scholar 

  15. Wang, W., Farid, H.: Exposing digital forgeries in video by detecting double MPEG compression. In: Proceedings of the 8th Workshop on Multimedia and Security, pp. 3–47. ACM (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kharkiv National Air Force University, Kharkiv, Ukraine

    V. Barannik, O. Yudin, Y. Boiko & R. Ziubina

  2. National Aviation University, Kyiv, Ukraine

    O. Yudin, Y. Boiko, R. Ziubina & N. Vyshnevska

Authors
  1. V. Barannik
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. O. Yudin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Y. Boiko
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. Ziubina
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. N. Vyshnevska
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Y. Boiko .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Kiev, Ukraine

    Ivan Dychka

  4. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft. Lauderdale, Florida, USA

    Matthew He

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Barannik, V., Yudin, O., Boiko, Y., Ziubina, R., Vyshnevska, N. (2019). Video Data Compression Methods in the Decision Support Systems. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_30

Download citation

Publish with us

Policies and ethics

Search

Navigation