Video perceived quality non-reference objective evaluation method based on areas of interest

An objective evaluation method, a technology of area of ​​interest, applied in the direction of TV, electrical components, image communication, etc., to achieve the effect of good correlation and good scene adaptability

Active Publication Date: 2014-12-24
BEIJING UNIV OF POSTS & TELECOMM +2
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Some existing image quality algorithms have taken into account the visual characteristics of the human eye, such as brightness masking, spatial frequ

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
  • Video perceived quality non-reference objective evaluation method based on areas of interest
  • Video perceived quality non-reference objective evaluation method based on areas of interest
  • Video perceived quality non-reference objective evaluation method based on areas of interest

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0052] A no-reference objective evaluation method for video perception quality based on regions of interest, such as figure 1 shown, including the following steps:

[0053] Step 1: Obtain the luminance component Y and color difference U and V of each frame in the video to be tested, extract the region of interest in the video to be tested, including the motion region and the human skin region, and fuse these two regions to obtain the final Region of interest ROI, and give different weights to the region of interest / non-interest region for subsequent processing.

[0054] In this step, the luminance component Y and the color difference U and V (or Cb, Cr) of each frame in the video to be tested should be obtained earlier, and then the following processing is performed:

[0055] Step 1-1, using Chi's visual rhythm analysis method to extract the ...

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 video perceived quality non-reference objective evaluation method based on areas of interest. The method is technically characterized in that the areas of interest including motion areas and human skin areas are extracted from a video to be detected, the two areas of interest are fused, the final area of interest is obtained, and different evaluation weights are given to the area of interest/non-interest areas; image distortion degrees are evaluated frame by frame; the evaluation weight of each image and two evaluation results are combined and switched so as to be matched with a subjective evaluation result. The method is reasonable in design, the motion areas and the human skin areas are comprehensively considered and blocking effects and fuzzy distortion characteristics in the two images are combined, video quality can be evaluated in a non-reference mode, good scene adaptability is achieved, the good correlation between the evaluation results and the subjective evaluation result is shown, and the method can be used for video quality evaluation and image quality evaluation.

Description

technical field [0001] The invention belongs to the technical field of video image quality evaluation, in particular to a no-reference objective evaluation method for video perception quality based on an area of ​​interest. Background technique [0002] Image (including video) quality evaluation can be divided into subjective evaluation methods and objective evaluation methods in terms of methods. The former evaluates image quality based on the subjective feelings of image observers; the latter evaluates image quality based on the quantitative indicators of image quality given by the algorithm model Simulate the perception mechanism of human visual system to characterize image quality. Compared with subjective quality evaluation, objective quality evaluation has the advantages of simple operation, low cost, fast and easy embedding, etc., and has become the research focus of image quality evaluation. [0003] The objective evaluation methods of image quality are further divi...

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): H04N17/00
Inventor 刘骏胡雪麟常江冯景锋李敬娜涂钦袁媛门爱东于洋王辉淇
Owner BEIJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap