Model generation method, video classification method and device
A video classification and model generation technology, which is applied in the direction of video data clustering/classification, video data retrieval, neural learning methods, etc., can solve the problem of unbalanced speed and accuracy of video classification, and achieve both speed and accuracy, accurate classification effect
Active Publication Date: 2022-05-31
BEIJING QIYI CENTURY SCI & TECH CO LTD
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] Embodiments of the present invention provide a model generation method, video classification method and device to solve the technical problem of unbalanced video classification speed and accuracy existing in the prior art
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0045] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0046] It should be noted that, for the method embodiment, for the sake of simple description, it is expressed as a series of action combinations, but those skilled in the art should know that the embodiment of the present invention is not limited by the described action sequence, because According to the embodiment of the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.
[0047] Video classification is applied to many scenarios of video services, such as video re...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a model generation method, a video classification method and a device. A model generation method includes: obtaining a sample set, sampling each video sample in the sample set to obtain a sampling frame; inputting the sampling frame into a preset speed-accuracy In the front-end 2D network of the balanced convolutional neural network, model training is performed through the front-end 2D network, back-end 2D network and back-end 3D network in the convolutional neural network to obtain a video classification model; the back-end 2D network and the back-end 3D network Parallel, and all cascaded with the front-end 2D network; the front-end 2D network is the first n1 layers of a lightweight 2D convolutional neural network, and the first n1 layers are embedded with m1 attention mechanism convolutional neural network modules, and the back-end 2D The network is the last n2 layers of a lightweight 2D convolutional neural network, and m2 attention mechanism convolutional neural network modules are embedded in the last n2 layers. The lightweight 2D convolutional neural network consists of N layers, n1+ n2=N.
Description
technical field [0001] The invention relates to the technical field of machine vision, in particular to a model generation method, a video classification method and a device. Background technique [0002] With the rapid development of Internet technology, video has become one of the important communication methods for content creation and social media platforms. Video classification is an important link in the video industry, and the efficiency of video classification directly affects the efficiency of subsequent video processing. [0003] Some video classification methods in the prior art have fast classification speed but low accuracy; other video classification methods have high classification accuracy but slow speed, and none of them can achieve a balance between classification speed and accuracy. Therefore, how to balance the speed and accuracy of video classification has become an urgent technical problem in the industry. Contents of the invention [0004] Embodime...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/75G06N3/04G06N3/08
CPCG06F16/75G06N3/08G06N3/045
Inventor 刘倩王涛刘洁蔡东阳
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD