Skip to main content

Motion Vector Refinement Algorithm for the High Definition Video Coding

  • Conference paper
Control and Automation, and Energy System Engineering (CES3 2011, CA 2011)

Abstract

In H.264/AVC, simplified rate distortion optimisation (RDO) is performed to estimate the motion vector (MV). As a result, the estimated MV is often suboptimal since the residual bitrate is not considered, which results in the deterioration of the coding efficiency. In this paper, we propose an MV refinement algorithm in which the final MV is selected from a set of candidate MVs by using the RDO including the residual bitrate. To further improve the performance of optimal MV selection, the RD calculation method in the RDO is modified using the deblocking filters. Experimental results show that the proposed algorithm outperforms the conventional H.264 in terms of coding efficiency.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Joint Video Team (JVT) of ISO/IEC MPEG & ITU-T VCEG. Draft ITU-T recommendation and final draft international standard of joint video specification (ITU-T rec. H.264—ISO/IEF 14496-10 AVC), JVT-G050 (2003)

    Google Scholar 

  2. Jung, J., Laroche, G.: Competition-Based Scheme for Motion Vector Selection and Coding. Doc. VCEG-AC06 (2006)

    Google Scholar 

  3. List, P., Joch, A., Lainema, J., Bjøntegaard, G., Karczewicz, M.: Adaptive Deblocking filter. IEEE Trans. on Circuits Syst. Video Technol. 13, 614–619 (2005)

    Article  Google Scholar 

  4. Le, T.H., Jung, S.W., Park, C.S., Ko, S.J.: Macroblock-Level Deblocking Method to Improve Coding Efficiency for H.264/AVC. ETRI J. 32(2), 336–338 (2010)

    Article  Google Scholar 

  5. Joint Video Team (JVT), KTA software version 2.3, http://iphome.hhi.de/suehring/tml/download/KTA/

  6. Bjøntegaard, G.: Calculation of Average PSNR Differences between RD-Curves. Doc. VCEG-M33, 13th Meeting (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ha, L.T., Jung, SW., Bui, T.D., Duong, D.T., Ko, SJ. (2011). Motion Vector Refinement Algorithm for the High Definition Video Coding. In: Kim, Th., Adeli, H., Stoica, A., Kang, BH. (eds) Control and Automation, and Energy System Engineering. CES3 CA 2011 2011. Communications in Computer and Information Science, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26010-0_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-26010-0_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-26009-4

  • Online ISBN: 978-3-642-26010-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics