Visual Information Retrieval in Endoscopic Video Archives
This addresses the need for surgeons to quickly access video documentation in endoscopic procedures, though it appears incremental as it builds on existing retrieval techniques.
The paper tackles the problem of retrieving specific video segments from endoscopic archives by developing a demo application that uses visual features and late fusion, enabling surgeons to efficiently re-find shots taken during procedures.
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.