Optimal bitstream adaptation for scalable video based on two-dimensional rate and quality models

Junhui Hou, Shuai wan

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a two-dimensional (2D) rate model is proposed considering the joint impact of spatial (i.e., the frame size) and SNR (i.e., the quantization step) resolutions on the overall rate-distortion performance. A related 2D quality model is then proposed in terms of perceptual quality. Then the two proposed models are applied to scalable video to address the problem of optimal bitstream adaptation. Experimental results show that the proposed rate and quality models fit the actual data very well, with high coefficients of determination and small relative root mean square errors. Moreover, given the bandwidth constraint and required display resolution of the end users, the optimal combination of SNR and spatial layers that provides the highest perceptual quality can be achieved using the proposed models.

Original languageEnglish
Pages (from-to)473-481
Number of pages9
JournalInternational Journal of Computers, Communications and Control
Volume7
Issue number3
DOIs
StatePublished - 2012

Keywords

  • 2D perceptual quality model
  • 2D rate model
  • Bitstream adaptation
  • Scalable video

Fingerprint

Dive into the research topics of 'Optimal bitstream adaptation for scalable video based on two-dimensional rate and quality models'. Together they form a unique fingerprint.

Cite this