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Video classification model training method and device, storage medium and electronic equipment

A technology for video classification and model training, applied in the video field, can solve the problems of long training time and low efficiency, and achieve the effect of improving training efficiency and reducing training parameters.

Inactive Publication Date: 2018-06-12
SHANGHAI QINIU INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When training the video classification model, many parameters are required, and the efficiency of directly using traditional algorithms is extremely low, which makes the training time too long

Method used

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  • Video classification model training method and device, storage medium and electronic equipment
  • Video classification model training method and device, storage medium and electronic equipment
  • Video classification model training method and device, storage medium and electronic equipment

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Embodiment Construction

[0025] Referring to the drawings, wherein the same reference numerals represent the same components, the principles of the present application are exemplified by being implemented in a suitable computing environment. The following description is based on illustrated specific embodiments of the present application, which should not be construed as limiting other specific embodiments of the present application that are not described in detail here.

[0026] In the following description, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise stated. Accordingly, these steps and operations will several times be referred to as being computer-implemented, which herein refers to operations by a computer processing unit of electronic signals representing data in a structured form. This operation transforms the data or maintains it at a location in the computer's memory system that can re...

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PUM

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Abstract

The invention provides a video classification model training method and device, a storage medium and electronic equipment. The method comprises the steps that video files are input into a video classification model for studying to obtain feature vectors; the feature vectors are divided into multiple sub feature vectors; a sub feature vector is selected from the sub feature vectors as a target subfeature vector; the target sub feature vector is input into the video classification model for training to obtain a final video classification model. According to the method, part of the feature vectors are intercepted as the target feature sub vectors to input into the video classification model for training, the size of input data and the data converted by the input data is reduced, and therefore training parameters are reduced to improve training efficiency.

Description

technical field [0001] The present invention relates to the video field, and more specifically, relates to a video classification model training method, device, storage medium and electronic equipment. Background technique [0002] When classifying video files, it is necessary to train the video classification model in advance to obtain an optimized video classification model. Many parameters are required for video classification model training, and the direct use of traditional algorithms is extremely inefficient, making the training time too long. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a video classification model training method, device, storage medium and electronic equipment, which can improve training efficiency and reduce training time. [0004] The purpose of the present invention is achieved through the following technical solutions: [0005] In the first aspect, the embodiment of the present ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/40
Inventor 包怡欣彭垚绍杰赵之健
Owner SHANGHAI QINIU INFORMATION TECH
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