Paper Info
Title
Autosoccer: An Automatic Soccer Live Broadcasting Generator
Abstract
Low-cost live broadcasting is highly anticipated for soccer matches that involve heavy expenses in human and equipment currently. This demo showcases the autoSoccer system to approach the target. It takes a fix-view panoramic soccer video as the input and automatically generates its live broadcasting, which continuously focuses on the most interesting area in the soccer field. To this end, a novel pipeline is developed by leveraging both low-level motion and visual features, and high-level soccer-related semantics. By appropriately utilizing these clues, autoSoccer is capable of delivering a soccer match video analogous to human directed. Demo on school soccer show that autoSoccer produces videos with satisfactory watching experience. Moreover, it executes in real-time on a PC with Intel i7 CPU and one Nvidia Titan XP GPU.
Year
DOI
Venue
2020
10.1109/ICMEW46912.2020.9105989
2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Keywords
DocType
ISSN
Panoramic soccer video,live broadcasting,deep learning
Conference
2330-7927
ISBN
Citations 
PageRank 
978-1-7281-1486-6
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Chunyang Li11676.04
Zhineng Chen219225.29
Caiyan Jia38113.07
Hongyun Bao400.68
Changsheng Xu54957332.87