TY - GEN
T1 - Visual quality metric for perceptual video coding
AU - Xu, Long
AU - Ma, Lin
AU - Ngan, King Ngi
AU - Lin, Weisi
AU - Weng, Ying
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Visual quality assessment
KW - perceptual rate distortion optimization
KW - rate control
KW - saliency
UR - http://www.scopus.com/inward/record.url?scp=84893652075&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2013.6706417
DO - 10.1109/VCIP.2013.6706417
M3 - Conference contribution
AN - SCOPUS:84893652075
SN - 9781479902903
T3 - IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing
BT - IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing
T2 - 2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013
Y2 - 17 November 2013 through 20 November 2013
ER -