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Automated editing of medical training video via content analysis

Authors: KOKARAM, ANIL CHRISTOPHER; RING, DANIEL;

Automated editing of medical training video via content analysis

Abstract

PUBLISHED San Jose, CA, USA 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. Irish Research Council for Science Engineering and Technology

Country
Ireland
Related Organizations
Keywords

Content based retrieval, Bayesian Inference, Image Segmentation, Video Object Tracking and Enhancement, Motion Estimation

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