Video analysis method, device and equipment and storage medium

A video analysis and video technology, applied in the field of data processing, can solve problems such as insufficient representation of the quality of live broadcast content, and achieve the effect of improving the accuracy of analysis

Active Publication Date: 2019-06-07
GUANGZHOU HUYA INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally, the number of bullet chats is used to evaluate the live broadcast content of anchor users,

Method used

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  • Video analysis method, device and equipment and storage medium
  • Video analysis method, device and equipment and storage medium
  • Video analysis method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0044] Example one

[0045] figure 1 This is a flowchart of a video analysis method provided in Embodiment 1 of the present invention.

[0046] This embodiment can be applied to the situation where the quality of the video content is evaluated. Specifically, this embodiment does not limit the application scenarios of the video analysis method. Anything that involves sentiment analysis on the barrage information of the video, and then the video The application scenarios of content quality evaluation are applicable. This method can be executed by a video analysis device. This embodiment does not limit the video analysis. The video analysis device can be a computer, a server, and the like. In this embodiment, a video analysis device is used as a server for detailed description. The server may be an independent server or a cluster server. Further, for clarity of description, this embodiment takes the video analysis method applied to a server of a video sharing platform as an example ...

Example Embodiment

[0067] Example two

[0068] Figure 2A Is a flowchart of a video analysis method provided in the second embodiment of the present invention, Figure 2B It is a schematic structural diagram of an emotion recognition model provided in Embodiment 2 of the present invention.

[0069] Reference Figure 2A This embodiment is further refined on the basis of the above embodiment, and the video analysis method specifically includes the following steps:

[0070] S210: Obtain barrage information sent when the viewer user watches the video.

[0071] In this embodiment, the video and barrage information are associated and stored in the server, and are acquired during use.

[0072] S220: Convert each of the barrage information into a sentence matrix expressed based on word vectors.

[0073] In this embodiment, the sentence matrix is ​​expressed based on word vectors. Among them, the word vector is used to characterize the characteristics of words in the barrage information, and the words can be keywo...

Example Embodiment

[0090] Example three

[0091] image 3 This is a schematic structural diagram of a video analysis device provided in Embodiment 3 of the present invention.

[0092] This embodiment can be applied to the situation where the quality of the video content is evaluated. Specifically, this embodiment does not limit the application scenarios of the video analysis method. Anything that involves sentiment analysis on the barrage information of the video, and then the video The application scenarios of content quality evaluation are applicable. The device can be integrated into a video analysis device. This embodiment does not limit the video analysis. The video analysis device can be a computer, a server, and the like. In this embodiment, a video analysis device is used as a server for detailed description. The server may be an independent server or a cluster server. Further, for clarity of description, this embodiment takes the video analysis method applied to a server of a video sharing...

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Abstract

The embodiment of the invention discloses a video analysis method and device, equipment and a storage medium. The method comprises the steps of obtaining bullet screen information sent when audience users watch videos; Identifying an emotion tag to which each piece of bullet screen information belongs; Determining the proportion of the bullet screen information belonging to each emotion tag; Calculating a quality evaluation value of the audience user to the video according to the proportion; The problem of inaccurate evaluation and one-sided evaluation caused by evaluation of the video qualityonly through bullet screen information is solved, so that the quality of the video content is further analyzed according to the emotion of audience users on the video, the analysis accuracy of the video content is improved, and the video generating emotion resonance with the audience users can be found indirectly.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data processing, and in particular, to a video analysis method, device, device, and storage medium. Background technique [0002] In the live broadcast environment, the interaction between the audience user and the anchor user is mainly that the anchor user interacts with the audience user in the form of voice, and the barrage is the only way for the audience user to communicate with the anchor user. Generally, the number of bullet chats is used to evaluate the live broadcast content of anchor users, but only quantitative analysis is not enough to indicate the quality of live broadcast content. Contents of the invention [0003] The present invention provides a video analysis method, device, equipment and storage medium, so as to analyze the quality of video content according to the emotions of audience users on the video, thereby improving the analysis accuracy of video content, w...

Claims

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Application Information

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IPC IPC(8): H04N21/235H04N21/258H04N21/435H04N21/45H04N21/488G06F17/27
Inventor 张祥仇贲
Owner GUANGZHOU HUYA INFORMATION TECH CO LTD
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