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Video classification method and device and electronic equipment

A technology of video classification and electronic equipment, applied in the field of video processing, can solve difficult video classification and other problems, and achieve the effect of accurate classification and high reliability

Pending Publication Date: 2019-11-01
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present disclosure provides a video classification method, device and electronic equipment to at least solve the problem in the related art that it is difficult to classify videos accurately when classifying videos based on multi-modal features of videos

Method used

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  • Video classification method and device and electronic equipment
  • Video classification method and device and electronic equipment
  • Video classification method and device and electronic equipment

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Embodiment Construction

[0043] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0044] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to a video classification method and device and electronic equipment. The video classification method comprises the following steps: acquiring a to-be-processed video file as a to-be-processed video; for each mode in the plurality of modes, extracting features of information of the to-be-processed video in the mode as initial features of the to-be-processed video in the mode;calculating an attention value of the to-be-processed video in the mode according to the initial characteristics of the to-be-processed video in the mode; weighting the initial features of the to-be-processed video in the mode by taking the attention value as a weight to obtain weighted features of the to-be-processed video in the mode; and splicing the weighted features of the to-be-processed video in each mode to obtain a fusion feature of the to-be-processed video. The video classification method enables the contribution degree of different modes to the classification result to have a reasonable initial value, does not completely depend on the mapping relation learned by a network model through deep learning any more, and can classify the video more accurately.

Description

technical field [0001] The present disclosure relates to the technical field of video processing, in particular to a video classification method, device and electronic equipment. Background technique [0002] In some application scenarios, videos need to be classified out of practical needs. For example, a short video platform needs to classify uploaded videos. In the process of video classification, in order to fully obtain the relevant features of the video, it can be classified from multiple modalities related to the video. For example, it is possible to classify the video in combination with modal features such as the video image, accompanying text, and voice of the video. [0003] In related technologies, video features in multiple modalities are often spliced ​​end-to-end, used as video fusion features, and input into subsequent network models to perform end-to-end mapping of fusion features from features to classification results. However, in this method, the featur...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00G06F16/75
CPCG06F16/75G06V20/46G06F18/241G06F18/253
Inventor 李涛李岩
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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