Unlock instant, AI-driven research and patent intelligence for your innovation.

Adaptive texture prediction method in video coding

A prediction method and video coding technology, applied in the field of compression, can solve the problems of video coding bit rate and visual quality adverse effects, small prediction residuals, poor correlation, etc. Effect

Inactive Publication Date: 2020-05-05
XIAN CREATION KEJI CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the existing texture correlation prediction method, for the macroblock at the texture boundary in the image, because the current MB and the surrounding MB are not in the same texture area, the correlation between the current MB and the surrounding MB is poor, that is, the current MB and the surrounding MB cannot be passed. Surrounding MB correlation, to obtain a smaller prediction residual, which in turn adversely affects the encoding bitrate and visual quality of the video

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Adaptive texture prediction method in video coding
  • Adaptive texture prediction method in video coding
  • Adaptive texture prediction method in video coding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] This embodiment describes in detail a method for adaptive texture prediction in video coding provided by the present invention. The prediction method includes the following steps, as figure 1 as shown, figure 1 A schematic flowchart of an adaptive texture prediction method in video coding provided by an embodiment of the present invention:

[0052] Step 1. Predict the pixel components in the current MB according to multiple preset adaptive texture prediction methods to obtain multiple sets of corresponding prediction residuals;

[0053] Step 2. Obtain the optimal adaptive texture prediction method for the current MB by using a preset selection algorithm according to the multiple groups of prediction residuals;

[0054] Step 3: Transmit the prediction residual obtained by the pixel component in the current MB according to the optimal adaptive texture prediction method and the flag information of the optimal adaptive texture prediction method in the code stream.

[0055...

Embodiment 2

[0117] This embodiment illustrates the second adaptive texture prediction method provided by the present invention on the basis of the above embodiments. The prediction method includes the following steps:

[0118] Step 1, define reconstruction pixel components;

[0119] Define the current pixel component as Cij, select K encoded reconstructed pixel components around the current pixel component Cij, and number the encoded K reconstructed pixel components, and the numbering order can be specified, where K≥1.

[0120] Preferably, the coded K reconstructed pixel components are numbered, and the numbers are sorted from top to bottom and from left to right, and the serial numbers are arranged from 0 to K-1.

[0121] This embodiment selects 17 reconstructed pixel components around the current pixel component Cij as an example for illustration, as Figure 5 as shown, Figure 5 A reference schematic diagram for rebuilding pixel components of another second adaptive texture predictio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an adaptive texture prediction method in video coding. The adaptive texture prediction method comprises the steps of predicting a pixel component in a current MB according tomultiple preset adaptive texture prediction methods to obtain a corresponding prediction residual error; obtaining an optimal adaptive texture prediction method of the current MB by using a preset selection algorithm according to the prediction residual error; and transmitting the prediction residual error obtained by the pixel component in the current MB according to the optimal adaptive textureprediction method and mark information of the optimal adaptive texture prediction method in a code stream. According to the method, multiple prediction methods are adopted for the current MB, the optimal prediction method is finally selected, an optimal prediction algorithm is determined for different texture images, the prediction effect is further optimized, the theoretical limit entropy is reduced, and the bandwidth compression ratio is increased.

Description

technical field [0001] The invention relates to the technical field of compression, in particular to an adaptive texture prediction method in video coding. Background technique [0002] With the continuous progress of society, various types of videos emerge in large numbers, which enrich people's daily work and study. When making a video, a video usually contains a huge amount of data, which causes great troubles in both storing the video and transmitting the video. For example, a digital versatile disc (Digital Versatile Disc, referred to as DVD) can only store a video with a duration of a few seconds, but it takes about 4 minutes to transmit a video with a duration of 1 second with a bandwidth of 1 megabyte. Whether it is based on cost or user experience considerations, the above methods of storing and transmitting video have many disadvantages. Therefore, in order to solve the difficult problem of video storage and transmission, how to encode the video to reduce the dat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04N19/103H04N19/132H04N19/176
CPCH04N19/103H04N19/132H04N19/176
Inventor 冉文方田林海李雯
Owner XIAN CREATION KEJI CO LTD