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Method for extracting wonderful clip of badminton event video based on machine learning

A technology of highlight clips and extraction methods, applied in the fields of instruments, computer parts, character and pattern recognition, etc., to achieve the effect of saving time and cost

Pending Publication Date: 2020-06-16
NORTHWEST A & F UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing key information capture technology of motion video mainly focuses on the key frame extraction, but there is no research on the direct and effective extraction of highlights in the video

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  • Method for extracting wonderful clip of badminton event video based on machine learning
  • Method for extracting wonderful clip of badminton event video based on machine learning
  • Method for extracting wonderful clip of badminton event video based on machine learning

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] see figure 1 , the embodiment of the present invention provides a method for extracting highlights from a badminton match video, the method comprising:

[0047] Step 1, get badminton video.

[0048] Step 2, using the Keras framework for migration learning to obtain the viewing angle classification model; according to the viewing angle classification model, the badminton video is segmented to obtain broadcast viewing angle badminton video clips.

[004...

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Abstract

The invention discloses a method for extracting a wonderful clip of a badminton event video. The method comprises the following steps: acquiring a badminton video; carrying out transfer learning by adopting a Keras framework to obtain a visual angle classification model; segmenting a shuttlecock video according to the visual angle classification model to obtain broadcast visual angle shuttlecock video clips; determining the gravity center of the athlete through a YOLOv3 target detection model; and according to the gravity center of the athlete, determining the average speed of the whole playerin the broadcast viewing angle badminton video clips, and taking several broadcast viewing angle badminton video clips with the maximum average speed of the whole player as wonderful badminton videoclips. The invention relates to a segment segmentation link taking visual angle classification as a core and a wonderful segment extraction link taking judgment of the overall speed of a player as a core, and finally realizes a wonderful segment extraction method of a badminton match video, so that a user can directly appreciate match wonderful segments in the badminton match video, and the time cost of the user is saved.

Description

technical field [0001] The present invention relates to the technical field of sports video processing, and more specifically to a method for extracting highlights from badminton event videos. Background technique [0002] Sports video has a huge audience and great commercial application prospects. With the popularity of mobile devices and the Internet, users' demand for sports videos has shifted from directly watching full videos to diversified needs for videos. For example, directly watching the highlights and emergencies of the game in the video corresponds to the extraction of highlights and abnormal event detection in video analysis technology. And in the field of sports video analysis, there are many sports that have been studied, such as basketball, football, volleyball and tennis, etc., but less research has been done in the field of badminton, and there are still a lot of vacancies waiting to be filled. [0003] Highlight extraction techniques are currently mainly...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06V20/49G06V20/46G06F18/23213
Inventor 王美丽罗键昆陶树王亦涵
Owner NORTHWEST A & F UNIV