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Expert Driven Semi-Supervised Elucidation Tool for Medical Endoscopic Videos


Zeno Albisser, Michael Riegler, Pål Halvorsen, Jiang Zhou, Carsten Griwodz, Ilangko Balasingham, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
In this paper, we present a novel application for elucidating all kind of videos that require expert knowledge, e.g., sport videos, medical videos etc., focusing on endoscopic surgery and video capsule endoscopy. In the medical domain, the knowledge of experts for tagging and interpretation of videos is of high value. As a result of the stressful working envi- ronment of medical doctors, they often simply do not have time for extensive annotations. We therefore present a semi- supervised method to gather the annotations in a very easy and time saving way for the experts and we show how this information can be used later on.
Conference Name: 
MMSys '15 Proceedings of the 6th ACM Multimedia Systems Conference
MMSys '15 Proceedings of the 6th ACM Multimedia Systems Conference. . Association for Computing Machinery
Digital Object Identifer (DOI): 
Publication Date: 
Conference Location: 
United States of America
Research Group: 
Dublin City University (DCU)
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