Method for obtaining game fragments with guiding significance in table tennis games

Abstract

The invention discloses a method for obtaining game fragments with guiding significance in table tennis games. The method comprises the following steps of: (1) obtaining a score of each round in eachgame in a table tennis game video, and a ball hitting skill, a ball hitting position a ball hitting drop point and a ball hitting effect attribute of each shot in each round; (2) visualizing the dataobtained in the step (1) into an improved ladder diagram and scoring bar, wherein according to the improved ladder diagram, two improved ladder lines in different colors are used for representing changes of score information, in all the rounds, of two players, and according to the scoring bar, a column diagram is segmented through a round number, and the segment of each game is further divided into a start stage, a middle stage and an end stage; and (3) obtaining game fragments with guiding significance according to matched changes of the improved ladder diagram and the scoring bar. Through the method disclosed by the invention, table tennis game data is processed, so that exploration and analysis in different levels can be carried out on scores and skill information of sequential table tennis games easily, intuitionally, comprehensively and deeply.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a method for obtaining game segments with instructive significance in a table tennis match. Background technique [0002] Table tennis is one of the most popular sports in the world, and there are more than 300 million table tennis fans in the world. According to statistics, at the Rio Olympic Games just ended last summer, more than 550 million TV viewers watched the table tennis match. As table tennis has attracted more and more attention and its fierce game nature, many professional table tennis teams have begun to introduce data analysis methods to improve team strength and analyze game tactics. However, the commonly used methods are still relatively monotonous, limited to reviewing video and statistically intuitive game data. With the rapid development of information technology, many new methods have emerged in recent years, making it possible to obtain fine-grained t...

AI Technical Summary

Problems solved by technology

[0004] In fact, there are already visualization experts who focus on the visualization of sports data, but most of their work focuses on football, basketball, tennis and rugby, and seldom pays attention to table tennis.

Moreover, because different sports have different rules and data characteristics, existing sports visualization work cannot be directly applied to table tennis visualization.

Therefore, there is still a lack of an effective association view for table tennis visual analysis that can support match reproduction, statistical analysis, and feature mining in this field.

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