TY - GEN
T1 - A novel motion estimation method based on structural similarity for H.264 inter prediction
AU - Mai, Zhi-Yi
AU - Yang, Chun-Ling
AU - Kuang, Kai-Zhi
AU - Po, Lai-Man
PY - 2006
Y1 - 2006
N2 - In the motion estimation of H.264, the best matching blocks and the best prediction modes are chosen by Lagrange cost function whose distortion metric is the sum of absolute (transformed) differences [SA(T)D] which has similar meaning with MSE or PSNR. Recently a new image measurement called Structural Similarity (SSIM) based on the degradation of structural information was brought forward. It is proved that the SSIM can provide a better approximation for the perceived image distortion than the currently used PSNR (or MSE). In this paper, we propose an improved motion estimation method based on SSIM(MEBSS) for H.264 inter coding. Experiment results show that the MEBSS can reduce average 20% bit rate and 2% encoding time while maintaining the same perceptual video quality, and the maximum reduction in bitrate is more than 50%. © 2006 IEEE.
AB - In the motion estimation of H.264, the best matching blocks and the best prediction modes are chosen by Lagrange cost function whose distortion metric is the sum of absolute (transformed) differences [SA(T)D] which has similar meaning with MSE or PSNR. Recently a new image measurement called Structural Similarity (SSIM) based on the degradation of structural information was brought forward. It is proved that the SSIM can provide a better approximation for the perceived image distortion than the currently used PSNR (or MSE). In this paper, we propose an improved motion estimation method based on SSIM(MEBSS) for H.264 inter coding. Experiment results show that the MEBSS can reduce average 20% bit rate and 2% encoding time while maintaining the same perceptual video quality, and the maximum reduction in bitrate is more than 50%. © 2006 IEEE.
UR - https://www.scopus.com/pages/publications/33947647347
UR - https://www.scopus.com/pages/publications/33947647347#tab=impact
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 142440469
SN - 9781424404698
VL - 2
SP - II913-II916
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)
Y2 - 14 May 2006 through 19 May 2006
ER -