Skip to main content

Usage of Video Codec Based on Multichannel Wavelet Decomposition in Video Streaming Telecommunication Systems

  • Conference paper
  • First Online:
Distributed Computer and Communication Networks (DCCN 2017)

Abstract

The amount of transmitted video content is rising sharply in modern telecommunication systems. This is especially true for streaming video. In this regard, the requirements are increased not only in terms of the compression ratio and the quality of the transmitted image, but also in terms of video codec performance.

The usage of multichannel wavelet transform may be a way to increase the compression ratio while maintaining the same quality of reconstructed images.

Therefore, the aim of the study is to implement multichannel wavelet decomposition based video codec and to make use of it in real-time mode.

Multichannel wavelet video codec based on new filter banks specially designed for wavelet decomposition of images into a certain number of channels has been implemented within the research.

Video compression results for various number of decomposition channels are presented in the efficiency evaluation of multichannel wavelet video codec.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Taubman, D.S., Marcellin, M.W.: JPEG2000: standard for interactive imaging. Proc. IEEE 90, 1336–1357 (2002)

    Article  Google Scholar 

  2. Dvorkovich, V.P., Dvorkovich, A.V.: Digital Video Information Systems (Theory and Practise). Technosphere, Moscow (2012)

    MATH  Google Scholar 

  3. Prokhorov, I.B., Gryzov, G.Y.: Implementation of 3-band wavelet decomposition in Dirac video codec. In: Digital Signal Processing and its Applications: 17th International Conference Proceedings, Moscow, pp. 507–509 (2015)

    Google Scholar 

  4. Dvorkovich, A.V., Dvorkovich, V.P.: The methodology of multichannel wavelet filter banks computation for image decomposition within video compression. In: 3rd International Conference “Engineering & Telecommunication - En&T 2016”, pp. 19–21. Books of Abstracts, Moscow/Dolgoprudny (2016). (In Russian)

    Google Scholar 

  5. Dvorkovich, V.P., Dvorkovich, A.V.: Window Functions for Harmonic Analysis of Signals. Technosphere, Moscow (2016)

    Google Scholar 

  6. Schrodinger video codec. http://schrodinger.sourceforge.net/schrodinger_faq.php

  7. Mallat, S.G.: A theory for multiresolution signal decomposition : the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11, 674–693 (1989)

    Article  MATH  Google Scholar 

  8. 4cif test video sequences. ftp://ftp.tnt.uni-hannover.de/pub/svc/testsequences/

  9. 720p/1080p test video sequences. http://media.xiph.org/video/derf/

Download references

Acknowledgments

This work was supported by Russian Ministry of Education and Science under Grant ID RFMEFI58115X0015.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kirill Bystrov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Bystrov, K., Dvorkovich, A., Dvorkovich, V., Gryzov, G. (2017). Usage of Video Codec Based on Multichannel Wavelet Decomposition in Video Streaming Telecommunication Systems. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2017. Communications in Computer and Information Science, vol 700. Springer, Cham. https://doi.org/10.1007/978-3-319-66836-9_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66836-9_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66835-2

  • Online ISBN: 978-3-319-66836-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics