TY - GEN
T1 - A perceptual rate-distortion optimization approach based on piecewise linear approximation for video coding
AU - Yuan, Zheng
AU - Zhang, Dongqing
AU - Wu, Dapeng
AU - Yu, Heather
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2013
Y1 - 2013
N2 - The core question in Perceptual Rate Distortion Optimization is how to find the Lagrange multiplier λ, which essentially requires the construction of a perceptual quality based RD model. A compelling RD modeling expects that the model reflects the best achievable Rate Distortion trade-off and captures the RD behavior with high accuracy. To this end, we rescale the λ associated with MSE-RDO to match the dynamic range of the perceptual distortion and populate a family of RD samples from Perceptual-RDO with its Lagrange multiplier as offsetting the rescaled λ. Considering that the envelope curve that encloses all the RD samples depicts the best achievable RD bound, we propose a piecewise linear approximation approach (since there is no guarantee that the RD model can be accurately fitted by a single function e.g. D = ae bR, D = aRb) to represent it. Each segment in the piecewise line is obtained with fair computational complexity: fitting the RD samples given the same QP with circle curve and finding the common tangent line over two adjacent circle curves. Experiments show that our proposed approach can reduce bitrate by 2-5% given the same perceptual distortion than the conventional approach. © 2013 IEEE.
AB - The core question in Perceptual Rate Distortion Optimization is how to find the Lagrange multiplier λ, which essentially requires the construction of a perceptual quality based RD model. A compelling RD modeling expects that the model reflects the best achievable Rate Distortion trade-off and captures the RD behavior with high accuracy. To this end, we rescale the λ associated with MSE-RDO to match the dynamic range of the perceptual distortion and populate a family of RD samples from Perceptual-RDO with its Lagrange multiplier as offsetting the rescaled λ. Considering that the envelope curve that encloses all the RD samples depicts the best achievable RD bound, we propose a piecewise linear approximation approach (since there is no guarantee that the RD model can be accurately fitted by a single function e.g. D = ae bR, D = aRb) to represent it. Each segment in the piecewise line is obtained with fair computational complexity: fitting the RD samples given the same QP with circle curve and finding the common tangent line over two adjacent circle curves. Experiments show that our proposed approach can reduce bitrate by 2-5% given the same perceptual distortion than the conventional approach. © 2013 IEEE.
KW - Lagrange multiplier
KW - Perceptual RDO
KW - RD modeling
KW - Video Coding
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U2 - 10.1109/ICMEW.2013.6618280
DO - 10.1109/ICMEW.2013.6618280
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781479916047
T3 - Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
BT - Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
T2 - 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
Y2 - 15 July 2013 through 19 July 2013
ER -