Skip to main content

Complex Method of Video Stream Intensity Control

  • Conference paper
  • First Online:
Engineer of the XXI Century (EngineerXXI 2018)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 70))

Abstract

Consider the construction of a video stream bit rate controlling method, based on the non-equilibrium positional coding of a transformants bit representation. Developed the concept of combined use of technologies, which allows to adapt the video data intensity to the channel bandwidth in the conditions of its dynamic change.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. Recommendations of the International Telecommunication Union ITU-T G.1010: End-User multimedia QoS categories

    Google Scholar 

  2. Gonzales, R.C., Woods, R.E.: Digital Image Processing, 2nd edn., 1072 pp. Prentice Hall, New Jersey (2002)

    Google Scholar 

  3. Barannik, V., Ryabukha, Yu., Barannik, D., Podlesny, S.: The information integrity enhance in telecommunication systems with the binomial coding. In: Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), 2017 4th IEEE International Scientific-Practical Conference, pp. 547–550 (2017). https://doi.org/10.1109/infocommst.2017.8246459 (eng)

  4. Barannik, V.V., Barannik, D.V., Ryabukha, Yu.N., Tverdokhleb, V.V.: Methodological basis for constructing a method for compressing of transformants bit representation, based on non-equilibrium positional encoding. In: 2nd IEEE International Conference on Advanced Information and Communication Technologies, AICT 2017, Proceedings, Lviv, p. 188 (2017). https://doi.org/10.1109/aiact.2017.8020096

  5. Zhang, Y., Negahdaripour, S., Li, Q.: Error-resilient coding for underwater video transmission. In: OCEANS 2016 MTS/IEEE Monterey, Monterey, CA, pp. 1–7 (2016)

    Google Scholar 

  6. Wang, S., Zhang, X., Liu, X., Zhang, J., Ma, S., Gao, W.: Utility-driven adaptive preprocessing for screen content video compression. IEEE Trans. Multimedia 19(3), 660–667 (2017)

    Article  Google Scholar 

  7. Stankiewicz, O., Wegner, K., Karwowski, D., Stankowski, J., Klimaszewski, K., Grajek, T.: Encoding mode selection in HEVC with the use of noise reduction. In: 2017 International Conference on Systems, Signals and Image Processing (IWSSIP), Poznan, pp. 1–6 (2017)

    Google Scholar 

  8. Baccouch, H., Ageneau, P.L., Tizon, N., Boukhatem, N.: Prioritized network coding scheme for multi-layer video streaming. In: 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, pp. 802–809 (2017)

    Google Scholar 

  9. Pratt, W.K., Chen, W.H., Welch L.R.: Slant transform image coding. In: Proc. Computer Processing in Communications, pp. 63–84. Polytechnic Press, New York (1969)

    Google Scholar 

  10. Bai, X., Wang, J.: Towards temporally-coherent video matting. In: Proceedings of the 5th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE’11, pp. 63–74. Springer (2011)

    Google Scholar 

  11. Christophe, E., Lager, D., Mailhes, C.: Quality criteria benchmark for hiperspectral imagery. IEEE Trans. Geosci. Remote Sens. 43(9), 2103–2114 (2005)

    Article  Google Scholar 

  12. Zheng, B., Gao, S.: A soft-output error control method for wireless video transmission. In: 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN), Beijing, pp. 561–564 (2016)

    Google Scholar 

  13. Miano, J.: Formats and Image Compression Algorithms in Action [Text] – K.: Triumph, 336 pp. (2013)

    Google Scholar 

  14. Ding, Z., Chen, H., Gua, Y., Peng, Q.: GPU accelerated interactive space-time video matting. In: Computer Graphics International, pp. 163–168 (2010)

    Google Scholar 

  15. Lee, S.Y., Yoon, J.C.: Temporally coherent video matting. Graph. Models 72, 25–33 (2010)

    Article  Google Scholar 

  16. Lezama, J., Alahari, K., Sivic, J., Laptev, I.: Track to the future: spatio-temporal video segmentation with long-range motion cues. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 256–289 (2011)

    Google Scholar 

  17. Grundmann, M., Kwatra, V., Han, M., Essa, I.: Efficient hierarchical graph based video segmentation. In: IEEE CVPR, pp. 85–91 (2010)

    Google Scholar 

  18. Miano, J.: Compressed Image File Formats: JPEG, PNG, GIF, XBM, BMP/by John Miano, 264 pp. (1999)

    Google Scholar 

  19. Barannik, V.V., Tarasenko, D.O., Ryabukha, Yu.N., Tverdokhlib, V.V., Dodukh, A., Suprun, O.V.: Integration the non-equilibrium position encoding into the compression technology of the transformed images. In: East-West Design & Test Symposium (EWDTS), 2017 IEEE 29 Sept–2 Oct 2017, Novi Sad, Serbia, pp. 1–5. https://doi.org/10.1109/ewdts.2017.8110030

  20. Barannik, V., Podlesny, S., Tarasenko, D., Barannik, D., Kulitsa, O.: The video stream encoding method in infocommunication systems. In: Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), 2018 14th International, Proceedings of the 14th International Conference on TCSET 2018, Lviv, pp. 538–541 (2018). https://doi.org/10.1109/tcset.2018.8336259

  21. Richardson, J.: Video encoding H.264 and MPEG-4—standards of the new generation, 320 pp. TECHNOSPHERE (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Barannik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Barannik, V., Himenko, V., Tverdokhleb, V., Kovalevskiy, S., Warwas, K., Brocki, M. (2020). Complex Method of Video Stream Intensity Control. In: Zawiślak, S., Rysiński, J. (eds) Engineer of the XXI Century. EngineerXXI 2018. Mechanisms and Machine Science, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-13321-4_19

Download citation

Publish with us

Policies and ethics