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Feature extraction method, electronic equipment and storage medium

A feature extraction and differential feature technology, applied in the field of image processing, to achieve the effect of improving richness and improving the difficulty of action features

Pending Publication Date: 2022-07-12
BEIJING KUANGSHI TECH +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the video features extracted by the video feature extraction model have certain limitations.

Method used

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  • Feature extraction method, electronic equipment and storage medium
  • Feature extraction method, electronic equipment and storage medium
  • Feature extraction method, electronic equipment and storage medium

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Embodiment Construction

[0022] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present invention will be more thoroughly understood, and will fully convey the scope of the present invention to those skilled in the art.

[0023] In recent years, important progress has been made in the research of artificial intelligence-based computer vision, deep learning, machine learning, image processing, image recognition and other technologies. Artificial Intelligence (AI) is an emerging science and technology that studies and develops theories, methods, technologies and application systems for simulating and extending human intelligence. Artificial intelli...

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Abstract

The embodiment of the invention provides a feature extraction method, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-processed video; feature extraction is performed on the to-be-processed video through a target feature extraction model to obtain video spatial-temporal features of the to-be-processed video, the video spatial-temporal features comprise video features and time features, and the target feature extraction model is obtained by performing comparative learning training based on difference features between adjacent frames of a video sample. According to the embodiment of the invention, the target feature extraction model is obtained by carrying out comparative learning training on the basis of the difference features between the adjacent frames of the video sample, so that the extracted video spatial-temporal features can better capture the difference between the adjacent frames, and the action features with the time sequence in the video can be more accurately extracted; the richness of feature extraction of the feature extraction model is improved, and the problem that video action features are difficult to extract is solved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to a feature extraction method, an electronic device and a storage medium. Background technique [0002] Intelligent video analysis is a part of artificial intelligence application, how to learn robust video feature representation is very important. In recent years, self-supervised learning methods have been introduced in video feature learning, that is, only the video data itself is used to train the feature extraction model, and there is no need to spend manpower for video annotation. [0003] However, the video features extracted by the video feature extraction model have certain limitations. SUMMARY OF THE INVENTION [0004] In view of the above problems, embodiments of the present invention are proposed to provide a feature extraction method, electronic device and storage medium that overcome the above problems or at least partially solve the above prob...

Claims

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Application Information

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IPC IPC(8): G06V20/40
Inventor 赵钰
Owner BEIJING KUANGSHI TECH