Visual quality metric for perceptual video coding

Long Xu, Lin Ma, King Ngi Ngan, Weisi Lin, Ying Weng

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The visual quality assessment (VQA) becomes prevailing in the studies of image and video coding. It assesses the quality of image or video more accurately than mean square error (MSE) with respect to the human visual system (HVS). Toward perceptual video coding, MSE is weighted spatially and temporally to simulate the HVS response to visual signal in this paper. Firstly, the image content is depicted by edge strength to compose spatial weighting factors. Secondly, the motion strength calculated from motion vector of each block gives temporal weighting factors. Thirdly, the motion trajectory based saliency map for video signal is integrated as another weighting factor of MSE. The proposed VQM not only efficiently model HVS but also relate to quantization parameter (QP) capable of guiding perceptual video coding. A perceptual rate distortion optimization (RDO) is established on the proposed VQM. The experimental results indicate that the proposed VQM is consistent well with HVS. In addition, the better rate-distortion efficiency and accurate bit rate control can be achieved by the proposed visual quality control algorithm.

Original languageEnglish
Title of host publicationIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013 - Kuching, Sarawak, Malaysia
Duration: 17 Nov 201320 Nov 2013

Publication series

NameIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing

Conference

Conference2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013
Country/TerritoryMalaysia
CityKuching, Sarawak
Period17/11/1320/11/13

Keywords

  • Visual quality assessment
  • perceptual rate distortion optimization
  • rate control
  • saliency

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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