Video text screening method and device and electronic equipment

A screening method and text technology, applied in the field of communication, can solve problems such as lack of versatility, and achieve the effect of ensuring completeness and coherence, and effective screening
CN114090766APending Publication Date: 2022-02-25VIVO MOBILE COMM CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
VIVO MOBILE COMM CO LTD
Publication Date
2022-02-25

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Abstract

The invention discloses a video text screening method and device, and electronic equipment. The method comprises the steps of obtaining video texts and video text position information corresponding to a plurality of video frames of a target video; performing text correction processing on the video text to obtain a video correction text with semantic coherence; for the plurality of video frames, determining N video text lists based on the video correction text and the video text position information corresponding to each video frame, N being an integer greater than or equal to 1; based on the semantic association degree between the N video text lists and the video title corresponding to the target video, screening out K target video text lists from the N video text lists, and generating a target video text corresponding to the target video according to the video texts corresponding to the K target video text lists, wherein K is an integer smaller than or equal to N.
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Description

technical field

[0001] The present application belongs to the technical field of communication, and in particular relates to a video text screening method, device and electronic equipment. Background technique

[0002] In the video classification scenario, it is often necessary to rely on the semantic features of the text in the video content to understand the video. For example, the subtitle text appearing in the video can directly reflect the dialogue content of the characters. At present, the text content appearing in the video can be extracted through the Optical Character Recognition (OCR) technology, and then the natural language processing (Natural Language Processing, NLP) related technology can be used to understand the semantics of the text content, and the joint video Visual information as well as audio features, enabling video understanding for video classification. However, the text content contained in the video is often rich and varied. In addition to the sub...

Claims

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