Skip to main content
Log in

Perfect requantization for video transcoding

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Bit rate adaptation is one of the most important types of video transcoding. In this paper, we investigate certain critical points in the spectrum of rate shaping requests. We show that the selection of quantization step sizes may not have monotonic effects on rate-distortion characteristics in the transcoding sense. In other words, rate-distortion tradeoff for transcoding which operates on an already-compressed source can be different than that for regular encoding which operates on an original source. We show in a generic form that careful selections of the step size can lead to much improved performance for transcoding, especially when comparing to what would have been produced through a direct encoding. We demonstrate this unique rate-distortion characteristic through simulations as well as real transcoding scenario with H.264 sequences.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bauschke HH, Hamilton CH, Macklem MS, MacMichael JS, Swart NR (2003) Recompression of jpeg images by requantization. IEEE Trans Image Process 12(7):843–849, July

    Article  Google Scholar 

  2. Chen S, Tripp GEW (1996) Distortion reduction in multiple jpeg compressed still images. Electron Lett 32(12):1082–1084, June

    Article  Google Scholar 

  3. Joint Video Team of ISO/IEC MPEG and ITU-T VCEG (2002) Joint final committee draft of joint video specification (ITU-T Rec. H.264 ISO/IEC 14496-10 AVC), August

  4. Rosen KH (2000) Elementary number theory and its applications, 4th edn. Addison Wesley Longman, Reading, MA

    MATH  Google Scholar 

  5. Shen B (2005) Modeled analysis on requantization errors. Proc. IEEE Workshop on Multimedia Signal Processing, October

  6. Taubman DS, Marcellin M (2002) JPEG 2000: image compression fundamentals, standards and practice. Kluwer, Boston, MA

    Google Scholar 

  7. Werner O (1999) Requantization for transoding of mpeg-2 intraframes. IEEE Trans Image Process 8(2):179–191, Febuary

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bo Shen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shen, B. Perfect requantization for video transcoding. Multimed Tools Appl 35, 163–173 (2007). https://doi.org/10.1007/s11042-007-0127-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-007-0127-6

Keywords

Navigation