depth is one of the most important parameters in three dimensional videos (3DV). To improve the coding efficiency of depthmaps, a virtual view oriented distortion criterion is proposed to substitute the mean squared ...
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depth is one of the most important parameters in three dimensional videos (3DV). To improve the coding efficiency of depthmaps, a virtual view oriented distortion criterion is proposed to substitute the mean squared error during the rate distortion optimisation process. By employing the proposed distortion criterion, the bit rates of depthmaps could be reduced while maintaining the same quality of synthesised virtual views. Experimental results demonstrate that an average of -6.89% and a maximum of -23.04% coding bit rate reduction of depthmaps could be achieved while maintaining the same quality of synthesised virtual view.
This work proposes the Dynamically Configurable 3D-HEVC depthmaps Intra-Frame Prediction (DCDM-Intra), which explores the fact that Rough Mode Decision (RMD) was inherited from texture coding without taking advantage...
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ISBN:
(纸本)9781479970612
This work proposes the Dynamically Configurable 3D-HEVC depthmaps Intra-Frame Prediction (DCDM-Intra), which explores the fact that Rough Mode Decision (RMD) was inherited from texture coding without taking advantages of the depthmaps simplicity. DCDM-Intra classifies the HEVC Intra-frame Prediction Modes (IPMs) according to their BD-rate impact when encodingdepthmaps. Then, the application or the user can dynamically define the number of IPMs supported by the depthmaps intra-prediction, according to the system status or application requirements, removing the IPMs that less affect the encoding efficiency. DCDM-Intra allows 35 distinct operation points with different encoding efficiency impacts. Experimental results demonstrate that the exclusion of 20% of IPMs causes a BD-rate increase of 0.03%, and the removal of almost 51% of IPMs rises 0.11% the BD-rate.
Completely embedded in the 3D era, depth maps coding becomes a must in order to favour 3D admission to different fields of application, ranging from video games to medical imaging. This study presents a novel depth co...
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Completely embedded in the 3D era, depth maps coding becomes a must in order to favour 3D admission to different fields of application, ranging from video games to medical imaging. This study presents a novel depthcoding approach that, after a decimation step favouring the foreground, decomposes depthmaps onto a set of sparse coefficients and redundant mixed discrete cosine and B-splines atoms highly correlated to depthmaps piece-wise linear nature. depth decomposition searches the best rate/distortion tradeoff through minimisation of an adaptive cost function, where its weight parameter is manipulated according to depth homogeneity. The bigger the parameter is, the more the sparsity is favoured at the expense of synthesis quality. Furthermore, handled distortion measure of the cost function quantifies the effect of depth maps coding on rendered views quality. The experiments show the relevance of the proposed method, able to obtain considerable tradeoffs between bitrate and synthesised views distortion.
A planar model based intra prediction method for depth map is proposed based on the analyses of the nature of depthmaps. The neighboring pixels as well as their corresponding pixel coordinates of current block are ut...
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ISBN:
(纸本)9781845648442;9781845648435
A planar model based intra prediction method for depth map is proposed based on the analyses of the nature of depthmaps. The neighboring pixels as well as their corresponding pixel coordinates of current block are utilized to compute model parameters. Then, the predicted pixels of the current block are calculated based on the proposed model. Finally, a rate distortion criterion is used to choose the optimal prediction method between the proposed one and those of H.264. Experimental results demonstrate that by implementing the proposed method into H.264/multi-view video coding (MVC) software platform Joint Model of Multiview Video coding version 8.3 (JMVC8.3), the maximum and average bit rate savings of depthmaps can be achieved as high as -13.14% and -6.35%, respectively, while maintaining the same quality of synthesized virtual views.
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