New distortion model for depth coding in 3DVC

Zhang, Tao; Fan, Xiaopeng; Zhao, Debin; Gao, Wen

doi:10.1109/vcip.2012.6410848

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…As shown in the table, the proposed algorithm outperforms the VSDE approaches, VSD [6], Carb. [7] and Zhang [8], obviously. For each sequence, the proposed algorithm doubles BD-BR saving compared with the best one among the VSDE approaches.…”

Section: Resultsmentioning

confidence: 98%

“…VSD [6], the approach proposed by Carballeira et al [7] and that proposed by Zhang et al [8]. The experiments are conducted following the common test conditions [11].…”

Section: Resultsmentioning

confidence: 99%

“…It provides high compression efficiency while imposes a heavy computation burden. Motivated by reducing the computational complexity of VS based models, VSDE based distortion models which estimate synthesized view distortion instead of performing VS are proposed [6][7][8][9]. View synthesis distortion (VSD) [6] introduces horizontal texture gradients to estimate the distortions in synthesized views caused by distorted depth.…”

Section: Introductionmentioning

confidence: 99%

“…Carballeira et al's model [7] captures the geometric distortion caused by the distorted depth and the pixelmapping precision in view synthesis. Zhang et al's model [8] estimates synthesis distortion by considering warping distortion in view synthesis caused by distorted depth in statistical terms. Chung et al's model [9] analyzes how the disparity vector error (caused by depth error) affects the energy spectral density of a synthesized view in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

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A novel distortion model for depth coding in 3D-HEVC

Jin

Dai

2014

2014 IEEE International Conference on Image Processing (ICIP)

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In 3D-HEVC, the latest 3D video coding project of MPEG, the coding mode of depth maps is determined by view synthesis optimization (VSO) which integrates view synthesis distortion into rate distortion optimization (RDO) to improve the compression efficiency and synthesis quality simultaneously. However, it introduces a big burden in coding complexity of depth maps. In this paper, a novel distortion model for depth coding in 3D-HEVC is proposed which estimates the distortion of synthesized views using an adaptive model for different pixel intervals. It outperforms existing depth distortion estimation algorithms by 16.6% BD-BR saving in max and 10.2% BD-BR saving on average. Compared with VSO, it reduces encoding complexity of depth maps by 46.2% with the highest efficiencycomplexity performance among existing depth distortion estimation algorithms.

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Section: Resultsmentioning

confidence: 98%

“…VSD [6], the approach proposed by Carballeira et al [7] and that proposed by Zhang et al [8]. The experiments are conducted following the common test conditions [11].…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel distortion model for depth coding in 3D-HEVC

Jin

Dai

2014

2014 IEEE International Conference on Image Processing (ICIP)

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“…In [27], distortion in the synthesized view is related to the correlation between a texture image and its translation. In addition, rounding effect on the disparity error is also incorporated into the distortion model.…”

Section: ) Source-coding-caused Synthesis Distortion Estimationmentioning

confidence: 99%

View Synthesis Distortion Estimation With a Graphical Model and Recursive Calculation of Probability Distribution

Zhang

Liang

2015

IEEE Trans. Circuits Syst. Video Technol.

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Depth-image-based rendering (DIBR) is frequently used in multiview video applications such as free-viewpoint television. In this paper, we consider the two DIBR algorithms used in the Moving Picture Experts Group view synthesis reference software, and develop a scheme for the encoder to estimate the distortion of the synthesized virtual view at the decoder when the reference texture and depth sequences experience transmission errors such as packet loss. We first develop a graphical model to analyze how random errors in the reference depth image affect the synthesized virtual view. The warping competition rule adopted in the DIBR algorithms is explicitly represented by the graphical model. We then consider the case where packet loss occurs to both the encoded texture and depth images during transmission and develop a recursive optimal distribution estimation (RODE) method to calculate the per-pixel texture and depth probability distributions in each frame of the reference views. The RODE is then integrated with the graphical model method to estimate the distortion in the synthesized view caused by packet loss. Experimental results verify the accuracy of the graphical model method, the RODE, and the combined estimation scheme.Index Terms-Distortion estimation, graphical model, multiview videos, recursive probability mass function (PMF), view synthesis.

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Important macroblock distinction model for multi-view plus depth video transmission over error-prone network

Wang

2016

Multimed Tools Appl

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New distortion model for depth coding in 3DVC

Cited by 8 publications

References 11 publications

A novel distortion model for depth coding in 3D-HEVC

A novel distortion model for depth coding in 3D-HEVC

View Synthesis Distortion Estimation With a Graphical Model and Recursive Calculation of Probability Distribution

Important macroblock distinction model for multi-view plus depth video transmission over error-prone network

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