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As seen on TV: Automatic basketball video production using Gaussian-based actionness and game states recognition
Automatic video production of sports aims at producing an aesthetic broadcast of sporting events. We present a new video system able to automatically produce a smooth and pleasant broadcast of Basketball games using a single fixed 4K camera. The system automatically detects and localizes players, ball and referees, to recognize main action coordinates and game states yielding to a professional cameraman-like production of the basketball event. We also release a fully annotated dataset consisting of single 4K camera and twelve-camera videos of basketball games.
© Copyright 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. All rights reserved.
| Subjects: | |
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| Notations: | sport games technical and natural sciences |
| Tagging: | neuronale Netze |
| Published in: | IEEE/CVF Conference on Computer Vision and Pattern Recognition |
| Language: | English |
| Published: |
2020
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| Online Access: | https://openaccess.thecvf.com/content_CVPRW_2020/html/w53/Quiroga_As_Seen_on_TV_Automatic_Basketball_Video_Production_Using_Gaussian-Based_CVPRW_2020_paper.html |
| Pages: | 894-895 |
| Document types: | article |
| Level: | advanced |