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

A DCT coefficient distribution feature model optimization method in video coding

A distribution model and coefficient distribution technology, applied in the field of video coding, can solve problems such as complex process and results, many model distribution parameters, and inability to apply coding algorithms, etc., to achieve the effect of ensuring accuracy, ensuring simplification, and improving modeling accuracy

Active Publication Date: 2018-12-25
SHANGHAI UNIVERSITY OF ELECTRIC POWER
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the model has many distribution parameters, and its process and results are complicated.
Such modeling results cannot be applied to complex encoding algorithms

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
  • A DCT coefficient distribution feature model optimization method in video coding
  • A DCT coefficient distribution feature model optimization method in video coding
  • A DCT coefficient distribution feature model optimization method in video coding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0032] A DCT coefficient distribution feature model optimization method in video coding, such as figure 1 shown, including:

[0033] Step S1: Obtain the source distribution model, the source distribution model is:

[0034]

[0035] where: p(y / y c , λ, a) is the source distribution model, y is the DCT coefficient in the sample sequence, y c is the boundary parameter between the main part and the tail in the distribution model, λ is the distribution parameter, a is the maximum value of the DCT coefficient, f(λ) LAP is the probability density of the distribution model, f(y c ,a) ...

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 DCT coefficient distribution characteristic model optimization method in video coding, comprising the following steps: step S1, obtaining a source distribution model; Step S2, optimizing the boundary parameters of the main body part and the tail part in the distribution model according to the distribution situation of the sample sequence relative to 0; 3, taking that DCTcoefficients which are small than the demarcation parameters of the sample sequence as the main part of the distribution modeling and the other DCT coefficients as the tail part to obtain the optimize distribution model. Compared with the prior art, the invention combines the actual distribution characteristics of the DCT coefficients, optimizes the demarcation parameters, thereby applying the idea of LPTCM model segment modeling to a simple LAP model, and effectively avoids the serious tail phenomenon of the DCT coefficients.

Description

technical field [0001] The invention relates to the field of video coding, in particular to a DCT coefficient distribution feature model optimization method in video coding. Background technique [0002] The statistical modeling of DTC coefficients is to unify the law of the discrete distribution of DCT coefficients, and use a simple mathematical model to represent a large number of complex DTC coefficients. The distribution characteristics of the DCT coefficients are obvious, and its main part decays exponentially rapidly at first, followed by a relatively stable tail. The Laplacian (LAP) model is a typical exponentially decaying distribution model, which has a good balance between complexity and modeling accuracy, and has been widely used in image and video coding. [0003] The sample sequence is {Y i :i=1,2,3,...,n}, the probability density function of the LAP distribution model is as follows: [0004] [0005] Where: λ represents the positive scale parameter of the...

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): H04N19/625
CPCH04N19/625
Inventor 张娜娜王向文
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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