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No-reference asymmetric virtual viewpoint stereoscopic video quality evaluation method

A technology of stereoscopic video and virtual viewpoint, applied in stereoscopic systems, televisions, electrical components, etc.

Active Publication Date: 2019-12-31
西安灵境辰星文化科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Compared with FR and RR evaluation methods, the research of NR quality evaluation method is more challenging

Method used

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  • No-reference asymmetric virtual viewpoint stereoscopic video quality evaluation method
  • No-reference asymmetric virtual viewpoint stereoscopic video quality evaluation method
  • No-reference asymmetric virtual viewpoint stereoscopic video quality evaluation method

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Embodiment Construction

[0067] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0068] Such as figure 1 As shown, a method for evaluating the quality of a stereoscopic video with no reference to asymmetrical virtual viewpoints comprises the following steps:

[0069] Step 1. Input the left and right viewpoints to be asymmetrically distorted virtual viewpoint stereoscopic video to be evaluated, and extract the left viewpoint video V of the virtual viewpoint stereoscopic video to be evaluated respectively L and right view video V R , where the left view video V L and right view video V R The width of each is W, the height is H, and the total number of video frames is N; wherein, W, H and N are natural numbers;

[0070] Step 2, extract the left view video V respectively L The luma channel I L and right view video V R The luma channel I R ; Among them, the luminance channel I of the left view video L and the luma chan...

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Abstract

The invention relates to a no-reference asymmetric virtual viewpoint stereoscopic video quality evaluation method. The method comprises the following steps: respectively carrying out downsampling twice on each frame of image in brightness channels of a left viewpoint video and a right viewpoint video of a virtual viewpoint stereoscopic video to be evaluated, calculating spatial domain local features and spatial domain global features of the left viewpoint and the right viewpoint and time domain local features and time domain global features of the left viewpoint and the right viewpoint according to the images corresponding to the three scales obtained by down-sampling; respectively forming a left viewpoint feature vector and a right viewpoint feature vector; meanwhile, calculating the weight of the left viewpoint video and the weight of the right viewpoint video; fusing the left viewpoint feature vector and the right viewpoint feature vector with the corresponding left viewpoint videoweight and right viewpoint video weight to obtain a three-dimensional feature vector; and finally, taking the three-dimensional feature vector as an input quantity, and calculating to obtain an objective quality evaluation value of the virtual viewpoint three-dimensional video to be evaluated by using a random forest technology. The evaluation method better conforms to subjective perception of human eyes.

Description

technical field [0001] The invention relates to the field of video quality evaluation, in particular to a method for evaluating the quality of stereoscopic video with asymmetrical virtual viewpoints without reference. Background technique [0002] Currently, 3D video and Free Viewpoint Video (FVV) are more and more widely used, providing users with a vivid and lifelike visual experience. During the transmission process, due to the limitation of network bandwidth, it is impossible to transmit videos from all viewpoints. The multi-view video plus depth (MVD) expression only needs to encode color video and depth video of multiple viewpoints, and at the decoding end, multiple virtual viewpoints can be generated by using depth map-based rendering (DIBR) technology. However, most existing DIBR-based virtual viewpoint rendering methods are still imperfect, and the synthesized virtual viewpoint videos may have various geometric distortions such as holes, artifacts, and distortions....

Claims

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Application Information

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IPC IPC(8): H04N17/00H04N13/106
CPCH04N17/00H04N2013/0074H04N13/106
Inventor 彭宗举崔帅南邹文辉陈芬郁梅
Owner 西安灵境辰星文化科技有限公司
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