Autosoccer: An Automatic Soccer Live Broadcasting Generator

2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)(2020)

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摘要
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.
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关键词
Panoramic soccer video,live broadcasting,deep learning
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