An objective evaluation method of stereo video quality without reference based on sparse representation

A technology for objective quality evaluation and stereoscopic video, applied in the field of video processing, it can solve the problems of randomness in video acquisition and inability to obtain original stereoscopic video without distortion, and achieve the effect of high consistency and accurate reflection.

Inactive Publication Date: 2019-01-22
TIANJIN UNIV
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Problems solved by technology

Moreover, the acquisition of most videos is random, and most of the undistorted ...

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  • An objective evaluation method of stereo video quality without reference based on sparse representation
  • An objective evaluation method of stereo video quality without reference based on sparse representation
  • An objective evaluation method of stereo video quality without reference based on sparse representation

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the drawings.

[0049] The invention relates to the synthesis of visual perception image sequences in the human brain, the calculation of 3D regions of interest, and the calculation of sparse representation. It is proposed to use sparse representation coefficients to represent visual perception images, and to process the sparse coefficients by means of average, variance and two-norm, and finally use training methods to obtain the evaluation results.

[0050] Such as figure 1 As shown, the objective evaluation method for the quality of non-reference stereo video based on sparse representation, each distorted stereo video pair is composed of a left viewpoint and a right viewpoint, and the stereo video pair is set as (t l ,t r ), including the following steps:

[0051] The first step: down-sampling the stereo video, take one frame every certain number of frames, and obtain a stereo video pair with a total...

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Abstract

The invention discloses a method for objectively evaluating the quality of stereoscopic video without reference based on sparse representation: the stereoscopic video is downsampled to obtain stereoscopic video pair. The left and right viewpoints of stereoscopic video pair are respectively used to obtain the monocular energy magnitude map, and the weighting factors of the left and right views areobtained. Stereoscopic video weighted the two viewpoints to get the visual perception map. Visual perception saliency map is obtained by calculating ROI on visual perception map; dictionary learning.The sparse representation of visual perception saliency graph is used to obtain the coefficient matrix and its entropy. The coefficient matrix is obtained by means of mean, variance and two-norm operation. Choosing the coefficient matrix of video pair and MOS in the video database for training, the training model is obtained. The training model is used to predict the quality of any stereo video, and the final objective prediction value is obtained. The invention makes more comprehensive and accurate objective evaluation of stereoscopic video quality according to the visual perception image andthe sparse representation as a tool.

Description

Technical field [0001] The present invention relates to the field of video processing, and more specifically, to a method for objectively evaluating the quality of a non-reference stereo video based on sparse representation. Background technique [0002] In the process of human perception of the world, visual information plays a very important role. In recent years, with the rapid development of stereoscopic shooting technology and stereoscopic display technology, more and more people have begun to watch 3D movies. Stereoscopic video can bring audiences more realistic and vivid stereoscopic scenes, and therefore has broad development prospects. However, in the process of collecting, compressing, transmitting and displaying stereoscopic video, many factors will cause the video quality to decrease. Therefore, it is very necessary to propose an effective stereoscopic video quality evaluation algorithm, which is of great significance for improving the performance of the stereoscopic...

Claims

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Application Information

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IPC IPC(8): H04N17/00
CPCH04N17/00
Inventor 杨嘉琛王焕玲姜斌朱英豪计春祺
Owner TIANJIN UNIV
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