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Title: Automated editing of medical training video via content analysis
Other Titles: SPIE International Conference on Multimedia Content Analysis, Management, and Retrieval 2006
Sponsor: Irish Research Council for Science Engineering and Technology
Author's Homepage:
Keywords: Content based retrieval
Motion Estimation
Image Segmentation
Video Object Tracking and Enhancement
Bayesian Inference
Issue Date: 2006
Publisher: SPIE
Citation: Kevon Andrews, Daniel Ring, Anil Kokaram, Fadel Al Sabah, T. Clive Lee and Cathy Radix, Automated editing of medical training video via content analysis, SPIE International Conference on Multimedia Content Analysis, Management, and Retrieval 2006, San Jose, CA, USA, 17 January 2006, Edward Y. Chang, Alan Hanjalic, Nicu Sebe, 6073, SPIE, 2006, 23, 32
Series/Report no.: 6073
Abstract: 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.
Description: PUBLISHED
San Jose, CA, USA
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Appears in Collections:Electronic & Electrical Eng (Scholarly Publications)

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