Video classification method and device based on deep learning

A video classification and deep learning technology, applied in the video field, can solve the problems of general accuracy, poor video feature extraction effect, large intra-class variation, etc., to achieve the effect of increasing accuracy, enhancing robustness and accuracy

Active Publication Date: 2019-07-19
SISO CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The process of artificially extracting video features in existing video classification schemes is mainly based on the geometric shape or outline of the video content subject, and the accuracy in some simple specific scenes is acceptable. However

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  • Video classification method and device based on deep learning
  • Video classification method and device based on deep learning
  • Video classification method and device based on deep learning

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Embodiment Construction

[0058] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. In particular, the following examples are only used to illustrate the present invention, but not to limit the scope of the present invention. Likewise, the following embodiments are only some but not all embodiments of the present invention, and all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0059] The invention provides a video classification method based on deep learning, which can improve the effect and accuracy of video feature extraction.

[0060] See figure 1 , figure 1 It is a schematic flowchart of an embodiment of the deep learning-based video classification method of the present invention. It should be noted that if there are substantially the same results, the method of the present invention does not figure 1 The flow sequ...

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PUM

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Abstract

The invention discloses a video classification method and device based on deep learning. The method comprises the following steps of acquiring a data set and a category label of the video; and equallydividing the obtained video into N segments, at the training stage, randomly selecting M frames for each video, stacking the video frames into a multi-channel image; and passing through a convolutional neural network, extracting video space weighted characteristics of the video divided into N segments, and passing through a convolutional neural network, extracting video time weighted characteristics of the video divided into N segments, and obtaining video multi-scale features of the video divided into the N segments, fusing the N segments of video features to calculate a prediction score, obtaining a final video classification, storing the trained video classification model, and classifying the test video by applying the trained video classification model. Through the mode, the effect and accuracy of video feature extraction can be improved.

Description

technical field [0001] The present invention relates to the field of video technology, in particular to a video classification method and equipment based on deep learning. Background technique [0002] With the continuous development of high-definition video equipment and other hardware equipment, artificial intelligence based on video classification technology is widely used in video interest recommendation, video security, smart home, etc., and the application scenarios are extremely broad. For the video providing platform, the video is classified, and when the user plays a certain video, similar videos can be recommended for the user, so as to improve the user's satisfaction with the video platform. For security companies, it is necessary to classify the abnormal behavior in the video and take corresponding security measures. For example, it can monitor the abnormal withdrawal of bank ATM (Automatic Teller Machine, automatic teller machine) cash machine and issue an alarm...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/46G06N3/048G06F18/24G06F18/214
Inventor 徐勇李钊颖罗闻
Owner SISO CO LTD
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