Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Prediction method in video compression

A prediction method and video compression technology, applied in the direction of digital video signal modification, image communication, electrical components, etc., can solve the problems of poor correlation, affecting the quality of prediction modules, and the lack of accurate reference for prediction coding, so as to improve accuracy, The effect of reducing the theoretical limit entropy and optimizing the prediction effect

Inactive Publication Date: 2019-02-01
XIAN CREATION KEJI CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the texture of the image to be compressed is complex and changeable, the correlation is often poor when predicting the complex texture area, and the prediction coding cannot get accurate reference, which affects the quality of the prediction module

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
  • Prediction method in video compression
  • Prediction method in video compression
  • Prediction method in video compression

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] See figure 1 , figure 1 It is a flowchart of a prediction method in video compression provided by an embodiment of the present invention. The prediction method in the video compression of the present embodiment comprises:

[0064] S1: Divide the image into multiple MBs of the same size;

[0065] Specifically, the size of MB is set as m*n, where m and n are positive integers.

[0066] S2: Predict the MB by using an adaptive template prediction method to obtain a first prediction residual of the MB;

[0067] S3: Predict the MB by using a multi-direction prediction method of skipping and scanning, and obtain a second prediction residual of the MB;

[0068] S4: Select a final prediction residual according to the first prediction residual and the second prediction residual.

[0069] Further, step S2 includes:

[0070] S21: Determine the number of epitopes of the self-adaptive template, and set the serial number of the list to 0-N, where N is a positive integer;

[0071]...

Embodiment 2

[0100] See image 3 , image 3 is a schematic diagram of another adaptive prediction template provided by an embodiment of the present invention. In this embodiment, the number of adaptive template epitopes is 8, and the serial numbers of the epitopes are arranged in order from 0 to 8. The smaller the serial number, the higher the priority, and each epitope records a set of reconstruction values ​​of one MB. The MB size can be set. In this embodiment, the size of 8*2 is taken as an example, that is, the size of each MB is 8*2 pixels, that is, each MB has 8*2 reconstruction values.

[0101] In the subsequent initialization filling and updating steps, four sets of preset reconstruction values ​​are stored in the positions with the epitope numbers 4 to 7 of the self-adaptive template.

[0102] Detect the consistency between the reconstruction value of the adjacent MB on the current MB and the filled reconstruction value in the adaptive template. If there is no consistency, fill...

Embodiment 3

[0121] On the basis of the above embodiments, this embodiment specifically describes a multi-directional prediction method based on block skipping scanning, specifically as follows:

[0122] S31: Divide the image into multiple MBs of the same size;

[0123] Divide the image into MBs, each of the same size, so the number of MBs in the image is fixed. Let the MB size be 8*4, for a 128*64 size image.

[0124] S32: Use P marking symbols to mark the multiple MBs, where P is a natural number greater than 1;

[0125] Specifically, S32 includes the following steps:

[0126] S321: Using a plurality of marking symbols to complete the marking of the MB in the horizontal direction in a cycle;

[0127] S322: Complete the marking of the MB in the vertical direction in a cycle by using multiple marking symbols.

[0128] Mark each MB in the image, and select P marker symbols. In the horizontal direction, a plurality of marking symbols are used to complete the marking of the MB in the hor...

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 a prediction method in video compression. The method comprises the steps of dividing an image into multiple MBs with the same size; predicting the MB via an adaptive templateprediction method, to acquire a first predicted residual of the MB; predicting the MB via a block-skipping scanning multi-direction prediction method, to acquire a second predicted residual of the MB;and selecting a final predicted residual according to the first predicted residual and the second predicted residual. According to the method provided by the invention, the optimal prediction methodis selected from the adaptive template prediction method and the block-skipping scanning multi-direction prediction method via a prediction selection algorithm, and the prediction effect of the complex texture image is further optimized.

Description

technical field [0001] The invention belongs to the technical field of video compression, and in particular relates to a prediction method in video compression. Background technique [0002] With the rapid development of modern telecommunication, computer and network technology, the transmission of data, video and other services is growing and showing a trend of convergence. There are more and more business types to be transmitted, and wireless communication The bandwidth resource is a limited resource, how to use the precious bandwidth resource rationally is an important issue concerned by the wireless communication network system. In this case, it is particularly important to use the bandwidth compression technology in the chip to improve the image storage space and transmission bandwidth. [0003] Bandwidth compression is mainly composed of prediction module, quantization module, code control module and entropy coding module. Among them, the prediction module uses the sp...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/103H04N19/176H04N19/42H04N19/50
CPCH04N19/103H04N19/176H04N19/42H04N19/50
Inventor 冉文方李雯罗瑜
Owner XIAN CREATION KEJI CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com