Video bullet screen-oriented user emotion difference region detection method and system

A technology of area detection and barrage, applied in the field of video barrage, can solve problems that have not been considered or raised

Active Publication Date: 2020-11-27
XIHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the strong logic of the video content, the content described in the video screen corresponds to different scenes. This patent does not take this into ac

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  • Video bullet screen-oriented user emotion difference region detection method and system
  • Video bullet screen-oriented user emotion difference region detection method and system
  • Video bullet screen-oriented user emotion difference region detection method and system

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Embodiment Construction

[0058] Embodiments of the invention are described in detail below, but the invention can be practiced in many different ways as defined and covered by the claims.

[0059] The present invention analyzes the data as a whole, and does not divide the data according to the timeline of the video playback axis. The present invention proposes a dynamic time domain division method, uses the classification model to obtain the emotional tendency of the barrage, and finally determines the user's emotional difference area. Among them, due to force majeure, some video bullet screens will display lagging phenomenon, that is, the video bullet screen is on the timeline of the transition between two scenes, and does not appear in the specific video scene. The video subtitle has the property of explaining the video content, and the present invention utilizes this property to correct the lagged barrage.

[0060] The user emotion difference region detection method and system for video barrage pro...

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PUM

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Abstract

The invention discloses a video bullet screen-oriented user emotion difference region detection method and system, and the method comprises: carrying out the formatting of video bullet screen originaldata according to fields in the video bullet screen original data, and obtaining a video bullet screen set; dividing the bullet screen into different historical time planes according to the historical comment time; performing word segmentation and other preprocessing on the to-be-analyzed time synchronization comments according to the user comment dictionary, and predicting the emotional tendencyof the comments by using an emotional tendency classification model; calculating the similarity between the subtitle text of the adjacent scene and the bullet screen text with lagged display, and correcting the lagged bullet screen text; calculating an emotional tendency difference rate of the time region according to the average emotional tendency value, and comparing the emotional tendency difference rate with an emotional tendency difference rate threshold to judge an emotional difference region of the user; and visually displaying and displaying the user emotion difference area through the emotion tendency difference graph of the time area. The method is light in weight and high in efficiency, is very suitable for analysis tasks of a large amount of bullet screen data, and is very visual in visual display.

Description

technical field [0001] The invention relates to the field of video barrage, in particular to a method and system for detecting user emotion difference regions oriented to video barrage. Background technique [0002] Video barrage is a user comment that can be directly displayed on the video screen. As a new video comment method, with the development of network technology in recent years, more and more online video sites use video barrage as the main comment for users. Way. [0003] In April 2020, China Internet Network Information Center (CNNIC) released the "44th Statistical Report on the Development of China's Internet Network", which pointed out that in December 2019, Chinese netizens used mobile phones to watch online videos and short online videos in Apps. The ranking of duration ranks second and third among all App durations, accounting for 13.9% and 11% respectively. It can be seen that watching online videos has gradually become the first choice of entertainment fo...

Claims

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Application Information

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IPC IPC(8): G06F40/30G06F40/289G06K9/62
CPCG06F40/30G06F40/289G06F18/24
Inventor 杜亚军李若淼李曦
Owner XIHUA UNIV
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