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Method, device and storage medium for video hotspot segment detection based on barrage emotion

A technology of video clips and detection methods, which is applied in the fields of instruments, calculations, and electrical digital data processing, etc. It can solve the problems of many new words on the Internet, inaccurate calculation of emotional strength, and obvious colloquialism of bullet-screen texts, etc., and achieve high detection accuracy , the effect of improving the calculation accuracy

Active Publication Date: 2022-04-01
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method based on the emotional dictionary mainly uses the emotional dictionary to calculate the emotional strength, but the bullet-screen text is obviously colloquial, and there are many new words on the Internet, so the calculation of the emotional strength is inaccurate
Supervised machine learning methods require a large amount of labeled corpus and cannot quantify emotional strength

Method used

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  • Method, device and storage medium for video hotspot segment detection based on barrage emotion
  • Method, device and storage medium for video hotspot segment detection based on barrage emotion
  • Method, device and storage medium for video hotspot segment detection based on barrage emotion

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Embodiment 1

[0074] Such as figure 1 As shown, the present invention is based on the barrage emotion video hotspot segment detection method, and the overall overall flow chart is as follows figure 1 As shown, specifically steps S1-S7 are included:

[0075] Step S1, cleaning the acquired bullet chat video, and segmenting the cleaned bullet chat video to obtain video clips;

[0076] Step S2, constructing a bullet chatting sentiment dictionary, using the constructed bullet chatting sentiment dictionary to calculate the emotional intensity of the bullet chatting in the video clip in step S2, obtain the overall emotional intensity of the video clip, and calculate the overall emotional intensity of the video clip according to the overall emotional intensity tendency to judge

[0077] Step S3, according to the overall emotional intensity of each video segment obtained in step S2, calculate the rate of change of the emotional intensity of each video segment;

[0078] Step S4, according to the t...

Embodiment 2

[0129] The present invention provides a video hotspot segment detection device based on barrage emotion, including a preprocessing module, an emotion calculation module, a topic similarity calculation module, a boundary judgment module, and a detection module, wherein,

[0130] The preprocessing module is used to segment and clean the acquired bullet chat video data to obtain video fragments and construct a bullet chat sentiment dictionary;

[0131] The emotional calculation module is used to calculate the overall emotional intensity of the video clips and determine the overall emotional tendency using the barrage emotional dictionary built by the preprocessing module, and calculate the emotional intensity change rate of adjacent video clips for the video clips that have completed the overall emotional intensity calculation. calculation;

[0132] The topic similarity calculation module is used to calculate the topic similarity of the video clips, use the LDA topic model to ext...

Embodiment 3

[0137] A computer-readable storage medium, on which a computer program is stored, and the computer program implements the bullet chat emotion-based video hotspot segment detection method described in Embodiment 1 when running.

[0138] It can be understood that the present invention comprehensively considers facial expressions, modal particles, and network terms, constructs a new bullet-screen emotion dictionary, and improves the calculation accuracy of bullet-screen emotion intensity; at the same time, combined with the timing characteristics of bullet-screen, a new bullet-screen emotion is proposed. The intensity calculation method can obtain more accurate emotional intensity calculation results; the problem of hot video segment detection is transformed from the analysis of video frames to the analysis of the bullet chat text corresponding to the video segment, which meets the needs of users to retrieve hot segments by using emotional tendencies and keywords demand, with high...

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Abstract

The invention discloses a method, device and storage medium for detecting video hotspot segments based on bullet-screen emotion, including cleaning the acquired bullet-screen video, segmenting the cleaned bullet-screen video, constructing a bullet-screen emotion dictionary, and Calculate the emotional strength of the barrage in the video clip and judge the overall emotional tendency; calculate the change rate of emotional intensity of adjacent video clips; use the LDA topic model to extract topics and calculate the topic similarity of adjacent video clips; construct hot video clips Detection model; input the barrage video to be detected into the model to obtain hot video clips. The barrage emotional dictionary constructed by the present invention improves the calculation accuracy of the barrage emotional intensity, the barrage emotional intensity calculation method can obtain more accurate emotional intensity calculation results, and directly corresponds to the analysis of the barrage text to satisfy the user's use of emotional tendencies and keywords Retrieve the demand for hotspot fragments, with high detection accuracy.

Description

technical field [0001] The invention relates to the field of network public opinion, in particular to a method, device and storage medium for detecting video hotspot segments based on barrage emotion. Background technique [0002] In recent years, with the popularity of online videos, the number of videos has exploded. It is of great practical significance to efficiently push high-quality hot video clips that meet content needs and emotional tendencies for user groups. However, the existing methods for detecting video hotspot segments on video websites mainly include manual screening and clipping and automatic machine recognition. For the increasingly generated video data, the manual editing method is ineffective, time-consuming, and costly, and the accuracy of automatic machine recognition and detection is low. [0003] There are two main methods for machine automatic identification of hotspot video clip detection, one is based on the number of barrage in the video and the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V10/74G06F40/242G06F40/253G06F40/284G06K9/62
CPCG06F40/242G06F40/253G06F40/284G06V20/41G06V20/49G06F18/22
Inventor 吴渝张运凯杨杰李芊
Owner CHONGQING UNIV OF POSTS & TELECOMM
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