Video quality diagnosis system based on artificial intelligence

A video quality and video stream technology, applied in digital video signal modification, television, electrical components, etc., can solve the problems of time-consuming, complex calculation of image quality evaluation, lack of detection of key information, lack of evaluation of video stream quality, etc. To achieve the effect of improving the accuracy

Active Publication Date: 2022-06-21
自然语义(青岛)科技有限公司
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AI Technical Summary

Problems solved by technology

The disadvantage of this method is the lack of evaluation of video stream quality, and the calculation of image quality evaluation is complex, and there is no detection of missing key information.
The prior art with the publication number CN111182292A discloses a no-reference video quality assessment method, which uses a neural network to solve the video quality assessment problem, and its disadvantage is that the network training takes a long time

Method used

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  • Video quality diagnosis system based on artificial intelligence
  • Video quality diagnosis system based on artificial intelligence
  • Video quality diagnosis system based on artificial intelligence

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Embodiment 1

[0041] The video quality diagnosis system based on artificial intelligence includes an image quality evaluation unit, a video stream quality evaluation unit, and a video quality diagnosis unit.

[0042] The image quality evaluation unit is used to evaluate the image quality of the video decoded image sequence to obtain the image quality evaluation result, including: an abnormal frame extraction module, a water shadow verification module, and a first quality evaluation module. The input of the image quality evaluation unit is the multi-frame image restored by the coding principle, that is, the video decoding image sequence.

[0043] The abnormal frame extraction module is used to measure the abnormality of the video decoded image according to the abnormal frame evaluation model, and judge whether it is an abnormal frame. The input to this module is a single-frame video decoded image. Through HSV color space conversion, H (hue) information, S (saturation) information, and V (li...

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Abstract

The invention discloses an artificial intelligence-based video quality diagnosis system. It includes an image quality evaluation unit, which is used to evaluate the image quality of the video decoding image sequence, and obtains the image quality evaluation result; a video stream quality evaluation unit, which is used for performing video quality evaluation on the video encoding image sequence, and obtains the video quality evaluation result; the video quality The diagnosis unit is configured to obtain an overall video quality diagnosis result according to the image quality evaluation result and the video stream quality evaluation result. By using the present invention, the accuracy rate of abnormal frame detection and water shadow phenomenon identification is improved, and the accuracy rate of image quality diagnosis is further improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a video quality diagnosis system based on artificial intelligence. Background technique [0002] In the prior art, the video quality is generally measured from the perspectives of image information richness and color. The prior art with publication number CN109151463A discloses a video quality diagnosis system and a video quality analysis method, which perform blur detection, occlusion detection, color cast detection, noise detection, and dark and bright detection on video images, and detect abnormal When the corresponding alarm information is generated to the video inspection server. The disadvantage of this method is that it lacks the evaluation of video stream quality, and the calculation of image quality evaluation is complex, and there is no detection of lack of key information. The prior art with publication number CN111182292A discloses a reference-free v...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/139H04N19/154H04N19/167H04N19/177H04N19/467H04N17/00
CPCH04N19/154H04N19/139H04N19/167H04N19/177H04N19/467H04N17/00
Inventor 王东翟会丽马辉
Owner 自然语义(青岛)科技有限公司
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