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Video quality evaluation method based on adversarial network and multi-subject electroencephalogram signals

An EEG signal and video quality technology, applied in the field of video processing, can solve the problems of low utilization efficiency of subjective data and compliance with subjective evaluation results, etc., and achieve the effects of alleviating insufficient data volume, improving utilization efficiency, and improving accuracy

Active Publication Date: 2021-08-13
XIDIAN UNIV
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Problems solved by technology

It is used to solve the problems that the existing video quality evaluation methods cannot meet the subjective evaluation results well and the utilization efficiency of subjective data is low

Method used

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  • Video quality evaluation method based on adversarial network and multi-subject electroencephalogram signals
  • Video quality evaluation method based on adversarial network and multi-subject electroencephalogram signals
  • Video quality evaluation method based on adversarial network and multi-subject electroencephalogram signals

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0035] Refer to attached figure 1 , the present invention includes the following steps.

[0036] Step 1) Obtain training sample set, test sample set and labeled sample set:

[0037] (1a) For a video V of duration c with K-1 distortion levels f is distorted, and the V f As the undistorted video and the K-1 distorted videos obtained by the distortion process, the mixed video set V={V 1 ,V 2 ...V k ...V K}, among them, 1k Represents the kth video, in this embodiment, K=5, c=4;

[0038] (1b) Collect M subjects to watch each video V k EEG signal, get the EEG signal set X={X 1 ,X 2 ...,X m ...,X M}, where, 5m Indicates the collected EEG signal vector of the mth subject watching the video V, Indicates that the collected mth subject watched the video V k EEG signal, in this embodiment, M=9, the specific operation process is: the mixed vi...

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Abstract

The invention provides a video quality evaluation method based on an adversarial network and multi-subject electroencephalogram signals. The method comprises the following implementation steps: (1) obtaining a training sample set, a test sample set and a labeling sample set; (2) constructing a multi-subject adversarial network model; (3) carrying out iterative training on the multi-subject adversarial network model; and (4) obtaining a video quality evaluation result. In the constructed multi-subject adversarial network model, the invariant features of the source subject electroencephalogram data and the target subject electroencephalogram data are extracted through the adversarial network formed by a subject domain discriminator and a feature extractor, the problem that an electroencephalogram signal video quality evaluation model is only suitable for a single data source is solved, and the video quality evaluation precision is improved.

Description

technical field [0001] The invention belongs to the technical field of video processing, relates to a video quality evaluation method, and further relates to a video quality evaluation method based on an adversarial network and multi-subject EEG signals. Background technique [0002] In recent years, video quality assessment methods based on EEG signals have received more and more attention. Related studies have shown that there is a specific relationship between EEG signals and video quality, and specific components related to video quality can be obtained by analyzing EEG signals. At present, the EEG technology used for video quality evaluation is a simple, safe and reliable method to directly obtain EEG signals through head surface electrodes to reflect neural potential activities. This method not only overcomes the shortcoming that the objective method cannot fully reflect the subjective perceptual quality, but also overcomes the time-consuming and high-cost shortcoming...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/214
Inventor 何立火徐海鹏蔡虹霞孙羽晟柯俊杰廖乙霖钟斌陈欣雷高新波路文
Owner XIDIAN UNIV
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