Defective anchor detection method and device capable of selectively paying attention to clue guidance, and electronic equipment

A detection method and a selective technology, applied in the field of live broadcast, can solve the problem that the content of live broadcast is far apart

Active Publication Date: 2019-03-19
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as the audience of live broadcasts becomes larger and larger, the types of live broadc

Method used

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  • Defective anchor detection method and device capable of selectively paying attention to clue guidance, and electronic equipment
  • Defective anchor detection method and device capable of selectively paying attention to clue guidance, and electronic equipment
  • Defective anchor detection method and device capable of selectively paying attention to clue guidance, and electronic equipment

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Experimental program
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Embodiment approach

[0085] As an implementable manner, the second coupling feature is generated through the following steps:

[0086] Step S301, for each type of pre-stored audio-visual data, use the first sub-network of the set live detection model to perform feature extraction on the type of audio-visual data, so as to obtain the first sub-feature corresponding to the type of audio-visual data.

[0087] Further, the embodiment of the present application provides a plurality of live video and audio data, and extracts a plurality of sub-features from the video and saves them separately. Among them, audio-visual data includes audio-visual data of different clothing, different scenes, different genders, and different image quality, and live broadcasts containing bad information account for about half of the total audio-visual data, in order to achieve the purpose of fully training the live broadcast detection model.

[0088] Optionally, the first sub-network provided in the embodiment of the presen...

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Abstract

The embodiment of the invention provides a defective anchor detection method and device capable of selectively paying attention to clue guidance, and electronic equipment. The method comprises the steps of obtaining a to-be-detected live broadcast audio and video; generating a second coupling feature based on the to-be-tested live broadcast audio and video; calculating a Hamming distance between the second coupling feature and a pre-stored first coupling feature corresponding to each type of audio and video data, the second coupling feature being generated in the same manner as the first coupling feature; and judging the type of the audio-video data corresponding to the first coupling feature with the Hamming distance to the second coupling feature smaller than a preset threshold value asthe type of the live audio-video to be tested, and outputting the type of the live audio-video to be tested. Therefore, the type of the live audio and video can be reliably detected.

Description

technical field [0001] The present application relates to the field of live broadcast technology, in particular, to a method, device and electronic equipment for detecting bad anchors guided by selective attention clues. Background technique [0002] With the rapid development of Internet technology, live broadcasting has been favored by more and more people, and it appears more and more frequently in the lives of the public. However, as the audience of live broadcasts becomes larger and larger, the types of live broadcasts are also diverse, and the content of different types of live broadcasts is very different. Therefore, it is more and more necessary to monitor and manage live audio and video. Contents of the invention [0003] In view of this, the embodiment of the present application provides a method, device, and electronic equipment for detecting bad anchors guided by selective attention clues. By classifying live audio and video, the classified types include bad t...

Claims

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Application Information

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IPC IPC(8): G06F16/60
Inventor 张菁王立元李晨豪张辉李嘉锋卓力
Owner BEIJING UNIV OF TECH
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