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3D-HEVC inter-frame rapid method based on Bayesian decision division of a CU

A 3D-HEVC, Bayesian technology, applied in the field of video coding and decoding, can solve the problems of high coding complexity, high time cost, reducing coding complexity and time overhead, etc.

Active Publication Date: 2019-05-14
HUAQIAO UNIVERSITY
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the shortcoming of high time cost of the existing 3D-HEVC encoding technology, and propose a fast method for 3D-HEVC inter-frames based on Bayesian decision-making of CU division. , The problem of high time cost, while keeping the coding performance basically unchanged, reduce the coding complexity and time overhead

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  • 3D-HEVC inter-frame rapid method based on Bayesian decision division of a CU
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  • 3D-HEVC inter-frame rapid method based on Bayesian decision division of a CU

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Embodiment Construction

[0018] see figure 1 with figure 2 As shown, in order to solve the problems of high computational complexity and high time cost in the existing 3D-HEVC standard, the present invention provides a fast method for inter-frame 3D-HEVC based on CU division Bayesian decision-making. The specific steps are as follows:

[0019] Step 1. Select the first 25 frames of test sequences in the format of Multi-view Video plus Depth (MVD) with different motion types, different texture characteristics and different resolutions as the training set, and calculate their independent viewpoints, The rate-distortion cost function (RDcost) of all possible coding units (CUs) of different sizes under non-independent viewpoints, different quantization parameters, and different frame types, with RDcost as a feature.

[0020] Step 2, for each 3D-HEVC Coding Tree Unit (Coding Tree Unit, CTU), the coding process uses a quadtree coding structure to divide and traverse step by step. If the rate-distortion co...

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Abstract

The invention relates to a 3D-based Bayesian decision division method based on a CU. The invention discloses an HEVC interframe fast method, and belongs to the field of video coding. The method comprises the following steps: firstly, carrying out Gaussian modeling on rate distortion cost (RDcost) divided by coding units (CU) of a texture map video and a depth map video and rate distortion cost (RDcost) not divided; calculating a prior probability through offline training; And finally, calculating a posterior probability for division and non-division of the current coding unit (CU) by adoptinga Bayesian decision, and judging whether the current coding unit is an optimal unit or not. According to the 3D-HEVC inter-frame fast method based on the Bayesian decision division of the CU, the calculation overhead of an encoder can be reduced, and the encoding time is shortened under the condition that the encoding performance is kept unchanged basically.

Description

technical field [0001] The present invention relates to the field of video encoding and decoding, in particular to a 3D-HEVC fast inter-frame method based on CU division Bayesian decision suitable for 3D video encoding. Background technique [0002] In order to satisfy people's visual experience of three-dimensional space, 3D video is gradually welcomed by people. However, with the gradual increase of ultra-high-definition video, it poses a huge challenge to the transmission and storage of video. Therefore, 3D-HEVC, a coding standard for 3D video coding based on HEVC (High Efficiency Video Coding), was proposed by JCT-3V (Joint Collaborative Team on 3D Video Coding Extension Development) in 2012. 3D-HEVC introduces the encoding of the depth map on the basis of the previous generation encoding format MVC (Multiview Video Coding), which enhances the display effect. Although 3D-HEVC uses time-domain inter-frame and inter-view correlation to remove redundant information, due t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N13/122H04N13/128H04N13/161H04N19/149H04N19/147H04N19/159H04N19/169H04N19/96
Inventor 陈婧粘春湄曾焕强朱建清蔡灿辉
Owner HUAQIAO UNIVERSITY