In endoscopic procedures, surgeons work with live video streams from the inside of their subjects. A main source for documentation of procedures are still frames from the video, identified and taken during the surgery. However, with growing demands and technical means, the streams are saved to storage servers and the surgeons need to retrieve parts of the videos on demand. In this submission we present a demo application allowing for video retrieval based on visual features and late fusion, which allows surgeons to re-find shots taken during the procedure.
@article{arxiv.1504.07874,
title = {Visual Information Retrieval in Endoscopic Video Archives},
author = {Jennifer Roldan-Carlos and Mathias Lux and Xavier Giró-i-Nieto and Pia Muñoz and Nektarios Anagnostopoulos},
journal= {arXiv preprint arXiv:1504.07874},
year = {2015}
}
Comments
Paper accepted at the IEEE/ACM 13th International Workshop on Content-Based Multimedia Indexing (CBMI) in Prague (Czech Republic) between 10 and 12 June 2015