Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2005.1530322
Title: Complexity-based rate distortion optimization with perceptual tuning for scalable video coding
Authors: Pan, F.
Sun, Y.
Lu, Z.
Kassim, A. 
Issue Date: 2005
Source: Pan, F.,Sun, Y.,Lu, Z.,Kassim, A. (2005). Complexity-based rate distortion optimization with perceptual tuning for scalable video coding. Proceedings - International Conference on Image Processing, ICIP 3 : 37-40. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2005.1530322
Abstract: This paper has proposed a content adaptive Rate-Distortion Optimization scheme for Scalable Video Coding. To adaptively determine the tradeoff between texture and motion coding, the scheme first makes use of spatial and temporal complexities to adjust the Lagrangian Multiplier for all the macroblocks in a frame. After that, the Lagrangian Multiplier for every macroblock of the frame is further refined using local perceptual cues. To ensure optimal local selection of the Lagrangian Multiplier, several characteristics of Human Visual System have been taken into account to guide the adjustment. Experiments have shown that the proposed scheme could effectively adapt the adjustment of Lagrangian Multiplier to video contents and the subjective quality of the reconstructed frames could be improved without compromising PSNR. © 2005 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/69668
ISBN: 0780391349
ISSN: 15224880
DOI: 10.1109/ICIP.2005.1530322
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