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

H.264/scalable video coding medius-grain scalability (SVC MGS) coding-oriented rate distortion mode selection method

A mode selection and rate-distortion technology, applied in television, electrical components, digital video signal modification, etc., can solve the problem that the relationship between the bit rate and distortion of the SVC enhancement layer cannot be accurately described, and the rate-distortion model does not consider the inter-layer correlation, etc. question

Inactive Publication Date: 2012-08-01
BEIHANG UNIV
View PDF0 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In order to solve the problem that the rate-distortion model based on Lagrangian multipliers in the existing video coding does not consider the inter-layer correlation and cannot accurately describe the relationship between the code rate and distortion of the SVC enhancement layer, the present invention proposes an H. 264 / SVC MGS encoding rate-distortion mode selection method

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
  • H.264/scalable video coding medius-grain scalability (SVC MGS) coding-oriented rate distortion mode selection method
  • H.264/scalable video coding medius-grain scalability (SVC MGS) coding-oriented rate distortion mode selection method
  • H.264/scalable video coding medius-grain scalability (SVC MGS) coding-oriented rate distortion mode selection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0026] The present invention predicts the distribution f of the residual signal after the transformation r analyzed and proved that f r It is related to the quantization step size of the corresponding macroblock in the base layer. Based on the obtained f r distribution, a new R-D model is derived, and a new Lagrangian multiplier is derived from the R-D model. At the same time, the present invention provides a new rate-distortion mode selection method for H.264 / SVC MGS coding for the obtained new Lagrangian multiplier.

[0027] The realization basis of the method of the invention is to analyze the relationship between the residual prediction residual signal of the macroblock in the enhancement layer and the reconstructed distortion signal of the corresponding macroblock in the basic layer, and prove that the values...

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 discloses an H.264 / scalable video coding medius-grain scalability (SVC MGS) coding-oriented rate distortion mode selection method. Interlayer relevancy in scalable video coding is taken into account, a relationship between a residual prediction residual signal of a macro block in an enhancement layer and a reconstruction distortion signal of a corresponding macro block in a reference layer is analyzed, and values of the residual prediction residual signal and the reconstruction distortion signal are proven to be approximately equal, so that a novel method for determining a rate distortion model for the coding of the enhancement layer and a Lagrange multiplier, and a new Lagrange multiplier is used for MGS coding. A peak signal to noise ratio (PSNR) value of a reconstructed image obtained by the rate distortion optimization coding of the Lagrange multiplier determined by the method is higher than that obtained by the conventional Lagrange multiplier, and an accurate coding mode can be obtained in rate distortion mode selection. The rate distortion performance of coding based on the method is higher than that of the coding based on the conventional Lagrange multiplier.

Description

technical field [0001] The invention relates to the field of computer video coding, in particular to a rate-distortion mode selection method for H.264 / SVC (Scalable Video Coding, scalable video coding) MGS (Medius-Grain Scalability, medium granularity quality scalable) enhancement layer coding. Background technique [0002] With the development of the digital media era, it has become the general trend to transmit continuous media data through the network. At the same time, more and more users hope to use PC and non-PC devices to carry out video communication and services through the Internet and wireless networks. This kind of anytime, anywhere Video communication and services pose greater challenges to the current video coding technology. The integrity, correctness and real-time performance of video streaming have become the key issues to be solved by video coding. [0003] Due to the heterogeneity of the network, the diversity of user equipment and the different computing ...

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): H04N7/26H04N7/50H04N19/147H04N19/19
Inventor 艾明晶赵丽丽赵沁平茆雨润李暮遇
Owner BEIHANG UNIV
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