Event detection in athletics for personalized sports content delivery

N. Katsarakis, Aristodemos Pnevmatikakis
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引用次数: 6

Abstract

Broadcasting of athletics is nowadays biased towards running (sprint and longer distances) sports. Personalized content delivery can change that for users that wish to focus on different content. Using a combination of video signal processing algorithms and live information that accompanies the video of large-scale sports like the Olympics, a system can attend to the preferences of users by selecting the most suitable camera view for them.There are two types of camera selection for personalized content delivery. According to the between sport camera selection, the view is changed between two sports, upon the onset of a sport higher up the user preferences than the one currently being delivered. According to the within sport camera selection, the camera is changed to offer a better view of the evolution of the sport, based on the phase it is in. This paper details the video processing algorithms needed for the extraction of the events that trigger both between and within sport camera selection, and describes a system that handles user preferences, live information and video-generated events to offer personalized content to the users.
田径运动中的事件检测,用于个性化的体育内容交付
现在的体育转播偏向于跑步(短跑和长距离)运动。个性化内容交付可以为希望专注于不同内容的用户改变这一点。该系统将视频信号处理算法与奥运会等大型体育赛事视频中的实时信息相结合,根据用户的喜好,选择最适合用户的摄像机视角。有两种类型的相机选择用于个性化内容交付。根据between运动相机的选择,在两个运动之间改变视图,当一个运动开始时,用户的偏好高于当前正在传递的运动。根据运动相机的选择,相机的变化,以提供一个更好的观点,运动的演变,基于它所处的阶段。本文详细介绍了提取运动摄像机选择之间和内部触发事件所需的视频处理算法,并描述了一个处理用户偏好、实时信息和视频生成事件以向用户提供个性化内容的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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