Event detection in athletics for personalized sports content delivery

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.