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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
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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 frequency masking, etc., but there are few algorithms that determine the region of interest in the image based on the specific content of the image for evaluation

Method used

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  • 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

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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 ...

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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

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Application Information

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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
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