scholarly journals Research on Structural Video Analysis Platform Based on Cloud Computing

2018 ◽  
Vol 8 (2) ◽  
pp. 29-43 ◽  
Author(s):  
Anders Hjort ◽  
Kristoffer Henriksen ◽  
Lars Elbæk

In the present article, we investigate the introduction of a cloud-based video analysis platform called Player Universe (PU). Video analysis is not a new performance-enhancing element in sports, but PU is innovative in how it facilitates reflective learning. Video analysis is executed in the PU platform by involving the players in the analysis process, in the sense that they are encouraged to tag game actions in video-documented soccer matches. Following this, players can get virtual feedback from their coach. Findings show that PU can improve youth soccer players' reflection skills through consistent video analyses and tagging; coaches are important as role models and providers of feedback; and that the use of the platform primarily stimulated deliberate practice activities. PU can be seen as a source of inspiration for soccer players and clubs as to how analytical platforms can motivate and enhance reflective learning for better in-game performance.


2014 ◽  
Vol 484-485 ◽  
pp. 922-926
Author(s):  
Xiang Ju Liu

This paper introduces the operational characteristics of the era of big data and the current era of big data challenges, and exhaustive research and design of big data analytics platform based on cloud computing, including big data analytics platform architecture system, big data analytics platform software architecture , big data analytics platform network architecture big data analysis platform unified program features and so on. The paper also analyzes the cloud computing platform for big data analysis program unified competitive advantage and development of business telecom operators play a certain role in the future.


Author(s):  
Shanshan Pu ◽  

The sports video analysis system in sports training can improve the ability of motion analysis and improve the training quality of sports training video playback. In view of the shortcomings of the current motion video analysis system, a new sports training video analysis system is proposed. The overall design of the video analysis system of the sports training system is analyzed, and the detailed design of the system is analyzed. Finally, the performance of the system is tested. The results show that the system can accurately analyze the video and image information of sports training. The accuracy of the key frame extraction is high and the recall rate is high. It can be used to guide the training of sports training.


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