Video quality evaluation method based on electroencephalogram signals and space-time distortion

Abstract

The invention discloses a video quality evaluation method based on electroencephalogram signals and space-time distortion. The video quality evaluation method mainly solves the problem that an objective video quality evaluation result is inconsistent with human subjective perception due to the fact that human visual characteristics are not fully considered in the prior art, and comprises the following steps of: (1) generating a simulated water surface fluctuation video; (2) generating a space-time distortion video; (3) collecting continuous electroencephalogram signals and performing subjective evaluation; (4) calculating a subjective evaluation detection rate; (5) segmenting the electroencephalogram signals; (6) classifying the segmented electroencephalogram signals; (7) calculating a classification accuracy rate of the electroencephalogram signals; and (8) evaluating the quality of the space-time distortion video. According to the video quality evaluation method, the electroencephalogram signals corresponding to different space-time distortion videos are collected to serve as evaluation bases, and the video quality evaluation method has the advantages that the video quality evaluation result is more consistent with human subjective evaluation and the evaluation result is more accurate.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a video quality evaluation method based on electroencephalogram signals and spatiotemporal distortion in the technical field of image and video quality evaluation. The invention can be used to analyze the electroencephalogram signal and subjective evaluation collected in the process of observing the video, and obtain the quality evaluation corresponding to the video quality. Background technique [0002] The popularity of electronic products and the development of video streaming media such as video playback platforms have made video an important means for people to obtain and exchange information in their daily lives, and people's requirements for video quality are also constantly improving. Now that video technology is widely used, the perceived quality of video is an important indicator for comparing the performance of various digital image processing algorithms...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and propose a video quality evaluation method based on EEG signals and spatio-temporal distortion, which is used to solve the limitations and uncertainties existing in the video quality evaluation method, resulting in the evaluation of video quality The problem with inaccurate results

[0006] The specific idea of ​​realizing the purpose of the present invention is, aiming at the limitations and uncertainties existing in the existing video quality evaluation method, causing the problem of inaccurate results of the video quality evaluation, by generating video with time domain distortion and spatial domain distortion, Collect the EEG signals and subjective evaluation of the subjects, use the support vector machine classifier to sort and classify, and map the detection rate of the subjective evaluation and the classification accuracy of the EEG signals into a one-to-one corresponding curve, and obtain the subjective perception of human beings. More consistent video quality evaluation results

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