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News video self-adaptive splitting method based on dynamic semantic features

A dynamic semantic and self-adaptive technology, applied in the field of artificial intelligence, can solve problems such as the inability to achieve segmentation effect

Inactive Publication Date: 2019-12-24
BEIJING INFORMATION SCI & TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method based on audio information performs story unit segmentation from the perspective of audio. Although it has a high detection accuracy for advertisements, weather forecasts, and news titles, it can only be used as an effective auxiliary means for news video story unit segmentation, and cannot achieve accurate segmentation

Method used

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  • News video self-adaptive splitting method based on dynamic semantic features
  • News video self-adaptive splitting method based on dynamic semantic features
  • News video self-adaptive splitting method based on dynamic semantic features

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Embodiment Construction

[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0076] Such as figure 1 with figure 2 As shown, the news video adaptive stripping method based on dynamic semantic features selects the studio scene and the presenter as the splitting feature to find the splitting time point of the news content item; the specific steps are as follows:

[0077] Step 1: video frame extraction preprocessing; convert the news video stream into a news video image set, and extract one frame of image per second in order to record the or...

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Abstract

The invention provides a news video self-adaptive splitting method based on dynamic semantic features, which comprises the following steps: selecting a studio scene and a host as splitting features soas to search splitting time points of news content entries; the method specifically comprises the following steps: step 1, video frame extraction preprocessing; step 2, training a NewlicNet model; 3,determining a key frame picture time point; and 4, splitting the news video. The invention discloses a news video self-adaptive splitting method based on dynamic semantic features. News videos are split based on channel identifiers, studio scene information and host co-existing features.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a news video self-adaptive stripping method based on dynamic semantic features. Background technique [0002] With the acceleration of people's life rhythm and the rapid development of network information technology, accurate viewing of video content has become an urgent problem to be solved. News video, which broadcasts major daily events and spreads values, is an important media force that promotes the process of standardizing social order, social morality, and democratization. How to split a long news video into multiple items according to its content, and how to re-disseminate the precise users of a single content item of a news video has become a meaningful topic. [0003] At present, my country's new media industry mainly relies on manual editing for short video splitting. There are prominent problems such as high labor intensity, whether the split content ...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06K9/00G06N3/04G06N3/08G06F16/783
CPCG06T7/11G06F16/783G06N3/08G06V20/40G06N3/045
Inventor 付倩慧李庆奎傅景楠王羽杨雪静弓镇宇勾青超
Owner BEIJING INFORMATION SCI & TECH UNIV
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