Efficient short video content intelligent classification method based on deep learning and attention mechanism

Abstract

The invention discloses an efficient short video content intelligent classification method based on deep learning and an attention mechanism, and relates to an efficient method for intelligently classifying short videos according to content. A core algorithm model of the method is composed of a two-dimensional convolutional neural network and a pseudo three-dimensional convolutional neural networkwhich are connected in series and used for extracting shallow space information and high-dimensional space and time information respectively, finally, the probability that a video belongs to each category is obtained through a normalized exponential function, and final prediction classification is obtained according to the probability. Time performance and prediction accuracy are both considered,the method can be used for real-time content supervision and classification of short videos, and the obtained result can be used for reference of short video recommendation.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to an intelligent classification method for short video content based on deep learning and an attention mechanism. Background technique [0002] As the fastest-growing Internet content dissemination method in recent years, short videos have diverse content and low thresholds for production and distribution. The massive short videos make supervision difficult, and it is easy to mix illegal videos involving violence and pornography. The present invention uses deep learning to automatically classify short video content, which can assist the short video platform to review and supervise the short videos uploaded by users. The classified short videos can also be used as reference factors for short video recommendations. History recommends associated short videos to enhance the competitiveness of the short video platform. [0003] Deep learning has become one of the ma...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of automatic video content classification methods in the prior art, the present invention proposes an efficient short video content intelligent classification method based on deep learning and attention mechanism, which combines two-dimensional convolutional neural network and three-dimensional convolutional neural network Advantages of the network, design a deep learning series structure with attention mechanism, use pseudo-3D convolutional neural network instead of traditional 3D convolutional neural network, and quickly classify short video content

Images