Automatic record and review of actions in sports training sessions is of great benefit to both coach and athlete. Many coaching sessions involve repetition of particular actions to hone technique, such as a swing from a tennis racket, golf club, or cricket bat. These actions can be defined by unique motion signatures. A method is proposed to parse the training video using motion into browse-able actions. The method aims to avoid the intensive explicit computation of player silhouette and motion vector fields, allowing for a real-time, online application on standard hardware.

Physicians in the early part of their training inevitably undertake a course in Anatomy. Unfortunately, the amount of training medical students have with real bodies has decreased. This is further exacerbated with the increasing gap between numbers of medical students and resources available. Medical faculties worldwide are increasingly turning to video training sessions as a complement to practical sessions. This paper presents a number of automated content access and enhancement tools which have been designed to alleviate the difficulty of editing these sessions. The system is being deployed at the Royal College of Surgeons in Ireland.