DocumentCode :
1292226
Title :
Modeling Rates and Distortions Based on a Mixture of Laplacian Distributions for Inter-Predicted Residues in Quadtree Coding of HEVC
Author :
Lee, Bumshik ; Kim, Munchurl
Author_Institution :
Dept. of Inf. & Commun. Eng., KAIST, Daejeon, South Korea
Volume :
18
Issue :
10
fYear :
2011
Firstpage :
571
Lastpage :
574
Abstract :
Inprobability model based rate control of video coding, modeling of residual distribution is important in predicting precise distortions so as to determine appropriate quantization parameter values. For this, single probability model approaches have been popularly taken which may fail to model the underlying statistical characteristics of different residues from variable block-sized coding. In this letter, new rate and distortion models based on a mixture of multiple Laplacian distributions are presented for the transform coefficients of inter-predicted residues in quadtree coding. The proposed mixture model of multiple Laplacian distributions is tested for the High Efficiency Video Coding (HEVC) Test Model (HM) with quadtree-structured Coding Unit and Transform Unit. The experimental results show that the proposed model achieves more accurate results of rate and distortion estimation than the single probability models.
Keywords :
Laplace transforms; estimation theory; quadtrees; statistical distributions; video coding; HEVC; appropriate quantization parameter values; distortion estimation; distortion models; high efficiency video coding test model; inprobability model based rate control; interpredicted residues; modeling rates; multiple Laplacian distributions; precise distortions; quadtree coding; quadtree-structured coding unit; rate estimation; residual distribution; single probability model approaches; single probability models; statistical characteristics; transform coefficients; transform unit; variable block-sized coding; Copper; Encoding; Laplace equations; Materials; Pixel; Rate distortion theory; Transforms; HEVC; quadtree coding; rate-distortion model;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2011.2163935
Filename :
5977003
Link To Document :
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