No-reference audio-video joint quality assessment method based on natural audio-video statistics
A quality evaluation, audio and video technology, applied in the field of multimedia quality evaluation, can solve problems that can only be applied to images and videos
Active Publication Date: 2021-06-08
SHANGHAI JIAOTONG UNIV
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However, the natural video statistical model in the above methods is only applicable to images and videos, and the designed method can only be applied to images and videos.
[0006] At present, there is no research or method to generalize and apply the relevant natural video statistical model to audio, and further construct a natural audio and video joint statistical model, so as to achieve no-reference audio and video joint quality evaluation based on natural audio and video statistics
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[0091] The following is a detailed description of the embodiments of the present invention: this embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed implementation methods and specific operation processes. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention.
[0092] The present invention provides a non-reference audio-video joint quality evaluation method based on natural audio and video statistical models, comprising the following steps:
[0093]The first step: constructing a natural video statistical model for the input video signal, the natural video statistical model is used for statistical modeling of the video signal;
[0094] Second step: the natural video statistical model obtained in the first step is extended to natural audio stati...
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The present invention provides a no-reference audio-video joint quality evaluation method based on natural audio-video statistics. The method extends the related natural video statistical model to natural audio statistics, and further constructs a natural audio-video joint statistical model, thereby Realize no-reference audio-video joint quality evaluation based on natural audio and video statistics; including: building a natural video statistical model, extending the natural video statistical model to natural audio statistics, using natural video statistical models and natural audio statistical models to construct natural audio and video The joint statistical model extracts audio and video quality features based on natural audio statistics, natural video statistics, and natural audio and video joint statistics, and features regression to obtain the final audio and video joint quality estimation; the non-reference audio and video joint quality evaluation method provided by the present invention, It can effectively estimate the joint quality of audio and video signals to be tested under the condition that the original audio and video signals are unknown.
Description
technical field [0001] The present invention relates to the technical field of multimedia quality evaluation, in particular to a method for joint quality evaluation of audio and video without reference based on statistical models of natural audio and video. Background technique [0002] In recent years, multimedia quality assessment has attracted the attention of many researchers in the fields of audio processing and video processing. According to the type of signal to be evaluated, multimedia quality assessment can be divided into: video / video quality assessment (image / video quality assessment) and audio quality assessment (audio quality assessment). In the past few decades, researchers have proposed a large number of objective visual quality assessment algorithms. After searching the prior art, it was found that: [0003] Lin and Kuo in "W.Lin and C.-C.J.Kuo, "Perceptual visual quality metrics: Asurvey," Journal of Visual Communication and Image Representation, vol.22, n...
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IPC IPC(8): H04N17/00H04N21/234H04N21/233H04N21/44H04N21/439H04N21/475
CPCH04N17/00H04N21/233H04N21/23418H04N21/4394H04N21/44008H04N21/4756
Inventor 闵雄阔翟广涛杨小康
Owner SHANGHAI JIAOTONG UNIV