TY - GEN
T1 - Saliency based objective quality assessment of decoded video affected by packet losses
AU - Feng, Xin
AU - Liu, Tao
AU - Yang, Dan
AU - Wang, Yao
PY - 2008
Y1 - 2008
N2 - In this work, we propose a novel saliency-based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by packet loses. The proposed method weights the error at each pixel by the visual saliency of the pixel. Different weighting methods are explored and compared. Our test results show that the predicted scores by the proposed metrics correlate very well with mean subjective scores, significantly better than the mean square error (MSE), mean absolute difference (MAD) or structure similarity (SSIM).
AB - In this work, we propose a novel saliency-based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by packet loses. The proposed method weights the error at each pixel by the visual saliency of the pixel. Different weighting methods are explored and compared. Our test results show that the predicted scores by the proposed metrics correlate very well with mean subjective scores, significantly better than the mean square error (MSE), mean absolute difference (MAD) or structure similarity (SSIM).
KW - Human visual attention
KW - Objective video quality assessment
KW - Packet loss
KW - Saliency
UR - http://www.scopus.com/inward/record.url?scp=69949130815&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69949130815&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2008.4712316
DO - 10.1109/ICIP.2008.4712316
M3 - Conference contribution
AN - SCOPUS:69949130815
SN - 1424417643
SN - 9781424417643
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2560
EP - 2563
BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008
Y2 - 12 October 2008 through 15 October 2008
ER -