Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2005.1415558
Title: Perceptually adaptive rate-distortion optimization for variable block size motion alignment in 3D wavelet coding
Authors: Sun, Y. 
Pan, F.
Kassim, A.A. 
Issue Date: 2005
Source: Sun, Y.,Pan, F.,Kassim, A.A. (2005). Perceptually adaptive rate-distortion optimization for variable block size motion alignment in 3D wavelet coding. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings II : II929-II932. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2005.1415558
Abstract: In this paper, a novel content adaptive rate-distortion optimization scheme has been proposed. The scheme could effectively distinguish texture region, edge region and flat region using directional field technique. Since the Human Vision System (HVS) perceives distortions more easily near edges and in flat regions, distortion reduction is more important in those regions than the bits it consumes to code the motion information. The adaptive rate-distortion optimization is carried out by adjusting the Lagrangian multiplier so that small values are assigned to edge and flat regions and large values to the random texture region. The proposed scheme has been tested in the scalable video coding (SVC) reference codec by Microsoft Research Asia (MSRA) [1]. Experimental results have shown that the accuracy of motion alignment in the visually important region is greatly improved in the temporal transform step of 3D wavelet coding and the scheme effectively preserves details in the most perceptually prominent regions for all bitstream layers with no loss in PSNR. ©2005 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/71386
ISBN: 0780388747
ISSN: 15206149
DOI: 10.1109/ICASSP.2005.1415558
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