Video classification method, medium and device and computing equipment

Abstract

The embodiment of the invention provides a video classification method, a medium, a video classification device and computing equipment. The method comprises the following steps: extracting one or more key frame images from an encoded data stream of a to-be-classified video; inputting the key frame images into a pre-trained image classification model to obtain an image classification result of each key frame image; and determining a video classification result of the to-be-classified video according to the image classification result. According to the method, video classification can be completed only by extracting a small number of key frame images for decoding; the video classification efficiency is greatly improved, the complete video does not need to be decoded, the analysis processingtime of video classification is remarkably shortened, the video analysis processing efficiency is improved, high-precision real-time analysis and classification requirements can be met, and the method is particularly suitable for efficient classification processing of massive short videos.

Description

technical field [0001] Embodiments of the present invention relate to the fields of communication and computer technologies, and more specifically, embodiments of the present invention relate to a video classification method, a medium, a video classification device, and a computing device. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] With the rapid development of mobile social media technology, short videos, as an entertaining content display form, are deeply loved by the public. However, due to the low threshold for short video production and rapid content production, a large amount of new content will be generated every day. In order to promote the healthy development of the short video field, it is necessary to analyze and review a large amount of short video cont...

AI Technical Summary

Problems solved by technology

[0004] Due to the variety of video content and the large difference in duration, existing video classification methods usually have defects such as poor classification accuracy and large computational resource consumption.

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