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Automated editing of medical training video via content analysis

Creator:

KOKARAM, ANIL CHRISTOPHER; RING, DANIEL;

Institution: SPIE
Subject Keywords: Content based retrieval; Motion Estimation; Image Segmentation; Video Object Tracking and Enhancement; Bayesian Inference;
Region:
Description:

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.

Format:

application/pdf

Related: http://dx.doi.org/10.1117/12.650668
Suggested citation:

KOKARAM, ANIL CHRISTOPHER; RING, DANIEL; . () Automated editing of medical training video via content analysis [Online]. Available from: http://publichealthwell.ie/node/652721 [Accessed: 27th June 2019].

  

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