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Video awakening degree classification method and device and computer device

A classification method and a classification device technology, which are applied in the field of emotion recognition, can solve the problem of low classification accuracy of video arousal, and achieve the effect of improving classification accuracy

Inactive Publication Date: 2019-01-11
CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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  • Claims
  • Application Information

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Problems solved by technology

[0004] Embodiments of the present invention provide a video arousal degree classification method, device and computer equipment to solve the problem in the prior art that the classification accuracy of video arousal degree is not high

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  • Video awakening degree classification method and device and computer device
  • Video awakening degree classification method and device and computer device
  • Video awakening degree classification method and device and computer device

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Embodiment Construction

[0033] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure, and to fully convey the scope of the present disclosure to those skilled in the art.

[0034] The first embodiment of the present invention provides a video arousal classification method, such as figure 1 As shown, the following specific steps S101-S104 are included:

[0035] S101: collect the EEG signal when the tester watches the video, and obtain the EEG data;

[0036] S102: standardize the obtained EEG data by columns;

[0037] S103: Perform feature selection on the standardized EEG data to obtain EEG classifi...

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Abstract

The invention discloses a video awakening degree classification method and device and a computer device, wherein the classification method comprises the following steps: step 1, collecting an EEG signal when a tester watches a video, and obtaining EEG data; step 2: standardizing the obtained EEG data according to columns; step 3, carrying out feature selection on the standardized EEG data to obtain EEG classification features; step 4, classifying the video according to the obtained EEG classification features. The embodiment of the invention classifies the video according to the EEG classification features by standardizing the collected data, and then extracts the EEG classification features from the EEG signals by using the SBMLR algorithm for the standardized processed data, thereby improving the accuracy of the awakening degree classification of the video.

Description

technical field [0001] The present invention relates to the technical field of emotion recognition, in particular to a video arousal classification method, device and computer equipment. Background technique [0002] Implicit affective computing is an interdisciplinary subject recently developed, which aims to use the corresponding brain signals collected when humans watch videos, music and other multimedia to identify the emotions in videos and music, involving computer vision, machine learning, etc. field. Video arousal recognition is an important part of implicit emotional computing. It is used to measure the density of emotions and represent the degree of brain activation by video. Low video arousal indicates that the brain is activated and inactive. Video cannot interest the brain. , a high degree of arousal indicates that the brain is highly activated and relatively active, and videos can make the brain interested. Video arousal recognition has broad application prosp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2136G06F18/2411G06F18/2415
Inventor 吉祥仝小敏张欣海张雪莹胡校成温涛杨云祥郭静张博程静
Owner CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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