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

Mapping algorithm from PSNR (Peak Signal-to-Noise Ratio) to MOS (Mean Opinion Score) in video system

A video and algorithm technology, applied in the direction of digital video signal modification, TV, electrical components, etc., can solve the problem of not accurately reflecting the value of MOS

Inactive Publication Date: 2012-08-08
BEIJING UNIV OF POSTS & TELECOMM
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] This kind of PSNR and MOS prediction can only roughly estimate the MOS value, but cannot accurately reflect the MOS value, so a detailed algorithm for mapping from PSNR to MOS in the video system is needed

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
  • Mapping algorithm from PSNR (Peak Signal-to-Noise Ratio) to MOS (Mean Opinion Score) in video system
  • Mapping algorithm from PSNR (Peak Signal-to-Noise Ratio) to MOS (Mean Opinion Score) in video system
  • Mapping algorithm from PSNR (Peak Signal-to-Noise Ratio) to MOS (Mean Opinion Score) in video system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to make the description of the advantages of the technical solution of the present invention more clear, the specific implementation manners of the present invention will be further elaborated below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. According to the embodiments of the present invention, those skilled in the art can realize all other embodiments of the present invention on the basis of no creative work, and all belong to the protection scope of the present invention.

[0029] The main idea of ​​the present invention is that by introducing an S-type mapping function, the PSNR and MOS of the video frame can be accurately mapped.

[0030] figure 1 It is a specific flowchart of an embodiment of the present invention, specifically including:

[0031] Step 101: Receive a sequence of video frames, and extract relevant feature parameters.

[0...

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 embodiment of the invention relates to a mapping algorithm from PSNR (Peak Signal-to-Noise Ratio) to MOS (Mean Opinion Score) in a video system. The technical scheme is specific to received video frame sequences. The invention aims at providing the mapping algorithm for accurately mapping PSNR to MOS. The special implementation method is as follows: firstly extracting characteristic information from the received video frame sequences, wherein the characteristic information mainly comprises pixel and brightness information in the video frame sequences, then carrying out PSNR algorithm based on MSE (Mean Square Error), finally accurately mapping the PSNR to MOS by introducing an S type Sigmoid mapping function, and outputting a MOS value.

Description

technical field [0001] The invention relates to a video quality evaluation method, more particularly, the invention is a mapping algorithm from peak signal-to-noise ratio (PSNR) to average subjective value (MOS) in a video system. Background technique [0002] As multimedia services are widely applied to wireless networks and mobile networks, the quality of multimedia video services is also receiving more and more attention. Most of the current multimedia service quality inspections use an architecture based on quality of service (QoS) management. QoS technology is an objective technology used for network quality detection. QoS only pays attention to some objective parameters in the network, such as delay, throughput, error, packet loss rate, etc. However, QoS does not take into account human subjective factors, and cannot calculate or estimate the quality of multimedia well. At the same time, network selection and quality optimization cannot be rationally processed based...

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): H04N17/00H04N17/02H04N7/64H04N19/89
Inventor 马文敏郑伟张海君李艳东刘德丽巨颖温向明
Owner BEIJING UNIV OF POSTS & TELECOMM
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