Network live broadcast monitoring method and device and data processing method

Abstract

The embodiment of the invention provides a network live broadcast monitoring method and device and a data processing method. The monitoring method comprises the steps of determining whether obtained interaction information of a target live broadcast room meets a preset suspected risk condition or not; if yes, selecting at least one video frame from the live video of the target live broadcast roomas a suspected risk frame according to the interaction information; and performing live broadcast risk analysis on the target live broadcast room according to the suspected risk frame to obtain a riskmonitoring result. According to the invention, firstly, a suspected risk live video is identified based on interactive information, and then live broadcast risk analysis is performed on video framesrelated to the interactive information in the live broadcast video; by introducing interactive information of a target live broadcast room, due to the fact that the recognition efficiency of the interaction information is high, the live video with the suspected risk can be rapidly positioned, live risk analysis can be conducted on the live video in a targeted mode, the live risk analysis efficiency and accuracy can be improved, and the situation that risk live broadcast violation playing occurs due to video frame extraction omission is reduced.

Description

technical field [0001] The present application relates to the technical field of information monitoring, in particular to a network live monitoring method and device, and a data processing method. Background technique [0002] At present, with the continuous development of live broadcast technology, many Internet companies have gradually established their own live broadcast platforms. After the anchor registers a live broadcast account on a live broadcast platform, he can then play live video in his own live broadcast room, and the anchor will It is possible to interact with fans and viewers who enter the live broadcast room. However, with the rapid development of the live broadcast industry and the advocacy of live broadcast for all, there is no restriction on the real identity of the host. Therefore, some bad live broadcast information often spreads on the Internet, causing adverse social impact. In order to ensure the sound development of the live broadcast industry, it ...

AI Technical Summary

Problems solved by technology

In the process of live video monitoring using this method, the selection of the preset time interval used to obtain video frames to be identified is particularly important. If the time interval is set relatively small, there will be a waste of identification resources for a safe live broadcast room However, if the time interval is set relatively large, for live broadcast rooms that broadcast risk information within the preset time interval, due to the problem of video frame extraction omissions, such risky live broadcast rooms cannot be accurately identified. As a result, risky live broadcasts are broadcast in violation of regulations

[0004] It can be seen that in the prior art, based on the preset time interval, the video frame to be identified is directly extracted from the live video data of the target live broadcast room. There is a situation where risky live broadcasts are played in violation of regulations

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