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Texture video and depth map code rate distributing method based on 3D-HEVC

A 3D-HEVC and code rate allocation technology, which is applied in the field of code rate allocation for texture video and depth image coding, can solve problems such as inability to maximize coding efficiency, achieve superior performance, strong practicability, and improve coding efficiency.

Inactive Publication Date: 2015-06-17
SHANGHAI UNIV
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Problems solved by technology

From the above formula, it can be clearly seen that the above formula regards texture distortion and depth map distortion as the same effect, that is, it appears in the form of 1:1 weight in the formula, but simply using this 1:1 weight Finding the minimum of the distortion sum of the two does not maximize the coding efficiency

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  • Texture video and depth map code rate distributing method based on 3D-HEVC
  • Texture video and depth map code rate distributing method based on 3D-HEVC
  • Texture video and depth map code rate distributing method based on 3D-HEVC

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[0039] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040] The present invention adds the Lagrangian operator to the code rate allocation, simulates the rate-distortion optimization scheme and combines the code rate limited equation, so that the code rate of the texture and the depth map can be reasonably allocated under the premise of limiting the total code rate, and further Reduced compositing errors for virtual viewpoints. First, according to the statistical characteristics of the video sequence, the model between the texture code rate, the depth map code rate and the virtual viewpoint distortion is established, and then the corresponding relationship between the Lagrangian operator and the texture and depth map code rate is respectively established. Based on the first two steps, On top of that, the cost equation of the virtual viewpoint distortion model and the Lagrangian operat...

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Abstract

The invention provides a texture video and depth map code rate distributing method based on 3D-HEVC. The texture video and depth map code rate distributing method comprises the step 1 of precoding an image set to obtain related texture parameters, the step 2 of precoding another image set to obtain a Lambda-R curve model parameter and a R-D curve model parameter of a depth map, the step 3 of obtaining a Lambda-R curve parameter of a texture video, a Lambda-R curve parameter of the depth map, a Lambda-R curve parameter of the depth map and R-D curve parameters of the texture video, the step 4 of solving the optimal texture and depth bit rate, and the step 5 of utilizing a proposal JCTVC-K0103 method to calculate out a quantization parameter pair sequence for encoding the texture video and depth map and encoding the texture video and the depth map. The texture video and depth map code rate distributing method based on 3D-HEVC can effectively improve the encoding quality.

Description

technical field [0001] The invention belongs to the technical field of multimedia communication, and relates to a code rate allocation method for 3D-HEVC-based texture video and depth map coding. Background technique [0002] The popularization of three-dimensional (3D) video has brought more and more data transmission. 3D-HEVC (3D High Efficiency Video Coding, high-efficiency video coding) as a 3D video compression standard is of great help to compress 3D video data. Currently, 3D Video representation methods are divided into multi-view video coding (Multi-view Video Coding, MVC) and multi-view video plus depth (Multi-View Video and Depth, MVD). The method is relatively simple and can be backward compatible with 2D video equipment and other characteristics, so MVD is widely used in 3D video coding. In the bit rate control algorithm of MVD, the bit rate of the texture video and depth map directly affects the coding quality of the rendering viewpoint. Therefore, the reasonab...

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Application Information

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IPC IPC(8): H04N19/597H04N19/147H04N19/19
Inventor 沈礼权赵振军胡乾乾李飞飞张兆扬
Owner SHANGHAI UNIV
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