Reference-free stereoscopic video quality objective evaluation method based on multi-view feature learning

A technology for objective quality evaluation and stereoscopic video, applied in the field of video processing, it can solve the problems of high cost, long time, and difficult application, and achieve the effect of high consistency, improved performance, and accurate and objective evaluation.

CN109429051AActive Publication Date: 2019-03-05TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-03-05

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Abstract

The invention discloses a reference-free stereoscopic video quality objective evaluation method based on multi-view feature learning. The method comprises the following steps: performing curvelet transform on an image sequence, and extracting a coefficient to serve as a texture feature; comparing eight adjacent pixels with a central pixel; generating ten output modes; calculating the occurrence frequency of each mode, and averaging the occurrence frequencies to obtain an average value to serve as an airspace texture feature; performing dimension reduction to obtain a space domain feature; acquiring motion strength features of adjacent images, and calculating the average value to serve as a time domain feature; performing DCT (Discrete Cosine Transformation) on a tridimensional perception domain view, performing DCT coefficient modeling, extracting shape parameters, and calculating the average value to serve as a stereoscopic perception domain feature; performing SVM (Support Vector Machine) training; performing prediction by using an evaluation model to obtain an objective quality score; and weighting to obtain a finial quality score. The influences of a space domain, a time domainand a tridimensional perception feature on the stereoscopic video quality are combined to perform stereoscopic video quality evaluation, so that the accuracy of stereoscopic video objective quality accuracy is improved.
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Description

technical field

[0001] The invention relates to the field of video processing, and more specifically relates to a method for objectively evaluating the quality of stereoscopic video without reference based on multi-view feature learning. Background technique

[0002] Since 3D can bring audiences a sense of three-dimensionality and a more realistic viewing experience, 3D video technology has attracted widespread attention from industrial product manufacturers and electronic product consumers. However, any link in the process of video acquisition, encoding compression, transmission, processing, and display may cause video distortion, resulting in a decrease in video quality. Therefore, the research on video quality evaluation is of great importance to promote the development of image and video processing technology. significance.

[0003] Stereoscopic video quality assessment methods are divided into two methods: subjective quality assessment and objective quality assessment....

Examples

Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] The non-reference stereoscopic video quality objective evaluation method based on multi-view feature learning of the present invention utilizes the LBP operator to extract the characteristics of the influence of distortion on the spatial domain characteristics, uses the new three-step search method to extract the characteristics of the influence of distortion on the time domain characteristics of the video, and uses DCT Transform and extract the stereoscopic features of the video, and use the support vector machine (SVM) as a tool to train the extracted three-part features separately and obtain the quality scores of the three parts; finally weight the three-part scores as the final result of the stereoscopic video Quality score, so as to make a more comprehensive and accurate objective evaluation of stereoscopic video quality.

[0059] Such as Figure 1 to Figu...