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A three-dimensional video rate-distortion optimization method and optimization device

A technology of frequency distortion and optimization method, applied in the field of encoder optimization, which can solve the problems of not considering the size of texture and complementary sequence distortion, unable to achieve the optimal performance of rate distortion, and not considering the new composition of distortion, etc.

Active Publication Date: 2016-12-21
ZHEJIANG UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The existing rate-distortion optimization technology only considers the distortion of the transmission viewpoint when encoding 3D video, but does not take into account the distortion of the texture and supplementary sequence that may be caused by the distortion of the transmission viewpoint on more viewpoints
Therefore, from the perspective of the entire 3D video application, the existing rate-distortion optimization method does not take into account the new composition of distortion when applied to 3D video coding, so it cannot achieve the optimal performance in the sense of rate-distortion in this application environment

Method used

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  • A three-dimensional video rate-distortion optimization method and optimization device
  • A three-dimensional video rate-distortion optimization method and optimization device
  • A three-dimensional video rate-distortion optimization method and optimization device

Examples

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example 1

[0047] This example describes a 3D video rate-distortion optimization method. In this example, the coding unit is an image block; the supplementary information is depth information. First, use an independent rate-distortion optimization algorithm for the current coding unit of texture information coding to select the optimal N modes (where K>N) from the K modes of texture information coding, and then use the joint rate-distortion optimization method from the current coding unit Select the optimal combination of texture information encoding mode and depth information encoding mode from the various combinations of the N optimal texture information encoding modes and all the allowed modes of the depth information of the current coding unit, and combine the optimal The combination of modes is applied to the encoding of the texture of the current coding unit and the depth information of the current coding unit; in the above-mentioned joint rate-distortion optimization, the calculatio...

example 2

[0049] This example describes a 3D video rate-distortion optimization method. In this example, the current coding unit is an image macroblock; the supplementary information is disparity information. Use joint rate-distortion optimization to complete the optimal mode selection; in the optimal mode selection, use the rate-distortion optimization algorithm of texture information combined with uncoded disparity information to obtain the optimal N modes from the K modes of texture information encoding ( Among them, K>=N), using the disparity information independent rate-distortion optimization algorithm to obtain the optimal M modes (where L>M) from the L modes of disparity information encoding, and the texture information rate-distortion optimization algorithm is based on the texture information independent Based on the rate-distortion optimization algorithm, the distortions at different positions are weighted differently. The positions include the interior of the object, the backgr...

example 3

[0051] This example describes a 3D video rate-distortion optimization method. In this example, the current coding unit is an image block; the supplementary information used is depth information; the joint rate-distortion optimization is used to complete the optimal mode selection; the texture is used in the optimal mode selection The rate-distortion optimization algorithm for information joint uncoded depth information obtains the optimal N modes (where K>=N) from the K modes of texture information coding, and uses depth information to joint rate distortion of uncoded texture information information The optimization algorithm obtains the optimal M modes (where L>M) from the L modes of depth information encoding, where the distortion D=D in the texture information rate-distortion optimization algorithm 1 (T, G)=E(W 1 (T, G), W 1 (T′, G)), D 1 (T, G) is the distortion corresponding to the target viewpoint 1, T is the current block of texture information, G is the current block of d...

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Abstract

The invention discloses a method for optimizing a three-dimensional video frequency distortion. The method comprises the steps of (1) using texture information and supplementary information together to calculate a joint code rate; (2) using the texture information and the supplementary information together to calculate the joint distortion; and (3) using the joint code rate and the joint distortion to calculate joint rate distortion cost, wherein the joint rate distortion cost is used for joint encoding of the texture information and the supplementary information or is used for coding of the supplementary information. The invention also discloses a device for optimizing the three-dimensional video frequency distortion. According to the method and the device, the texture information and the supplementary information in a three-dimensional video is combined to optimize the rate distortion, the rate distortion performance potential in the texture information and the supplementary information is fully developed, the rate distortion performance of three-dimensional video compression is improved, and the method and the device are wide in application filed and adaptability.

Description

Technical field [0001] The present invention relates to an encoder optimization technology in the field of video coding and decoding, in particular to a rate distortion optimization technology in a compression coding technology of three-dimensional video. Background technique [0002] At present, the H.264 / AVC video compression standard formulated by the Joint Video Team (JVT) represents the most advanced video image compression technology. Because it uses motion prediction and mode selection technology based on rate-distortion optimization, as well as a series of advanced video codec technologies, the H.264 / AVC standard has better rate-distortion than other video codec standards at the same time. performance. Due to the excellent performance of the rate-distortion optimization algorithm, it has become an important encoder optimization technology and has been widely used in the field of video coding and decoding. [0003] The commonly used rate-distortion optimization method is t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/597H04N19/147H04N19/61H04N13/00H04N19/89
Inventor 虞露傅德良
Owner ZHEJIANG UNIV
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