A Method for Texture Analysis and Coding Unit Selection in a Video Image Intra-Frame Coding Unit

A technology of video images and coding units, applied in the field of video coding, can solve the problems of high complexity, increased coding complexity, increased coding time, etc., and achieves the effects of small calculation amount, shortened coding time, and fast selection.

Active Publication Date: 2017-09-26
WUHAN LUOJIA WEIYE TECH CO LTD
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Problems solved by technology

Since the size of the initial block determined by the coding unit has a great influence on the one-step division of the subsequent prediction unit and transformation unit, compared to the coding unit size of 16×16, setting the coding unit size to 64×64 can reduce the bit rate by 12%. Compared with the H.264 standard, HEVC has more than doubled its compression efficiency, but its encoding complexity has increased by 2 to 4 times, and the corresponding encoding time has also increased. Based on this problem, HEVC itself has also provided several An algorithm about the selection mode of coding units, but the complexity is still high

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Embodiment Construction

[0033] The present invention will be further described in detail below with reference to the accompanying drawings, so that those skilled in the art can implement it with reference to the text of the description.

[0034] A method for performing texture analysis on a video image intra coding unit, using a first texture complexity to perform texture analysis on a video image intra coding unit, where the first texture complexity is the local range of all pixels of a coding unit The variance of the value, wherein the local range value refers to the difference between the maximum pixel value and the minimum pixel value in a local range of a pixel, and the local range refers to other adjacent pixels around the pixel.

[0035] Such as figure 1 As shown in, (a) is a coding unit. For a pixel with a pixel value of 6 in (a), its local range includes pixels with pixel values ​​of 1, 2, 3, 5, 7, 9, 10, and 11. Pixels, so the local range value is the difference between the maximum pixel value o...

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Abstract

The invention discloses a method for texture analysis and coding unit selection of a coding unit in a video image frame. The first texture complexity is used to perform texture analysis on the coding unit in a video image frame. The first texture complexity is the entirety of a coding unit. The variance of the local range value of a pixel point, wherein the local range value refers to the difference between the maximum pixel value and the minimum pixel value within the local range of a pixel point, and the local range refers to other pixels around the pixel point adjacent to it For pixels, the coding unit is selected by comparing the first texture complexity. The method of the invention is simple and fast to implement, and greatly shortens the encoding time under the premise of ensuring the video image quality.

Description

Technical field [0001] The present invention relates to the field of video coding, in particular to a method for texture analysis and coding unit selection of a video image frame coding unit. Background technique [0002] According to data, by 2017, 90% of network data will be video data, and most of which will be high-definition video data. The latest video coding standard HEVC has proposed many new features for efficient video compression. [0003] Similar to H.264 / AVC, HEVC is based on block-based prediction and compression. Since the resolution of the video has been increased to the physical resolution of 720p or even higher, the macroblock with the maximum value of 16×16 is not suitable for describing the characteristics of high-definition video, so HEVC proposes a wider block size. In HEVC, a coding tree unit is divided into multiple coding units of different sizes, ranging from 8×8 to 64×64. Since the coding unit determines the size of the initial block, it has a great in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/593H04N19/105H04N19/14
Inventor 彭凯冯文顺陈凯张先愉王学徐万彪李俊峰
Owner WUHAN LUOJIA WEIYE TECH CO LTD
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