Roldan-Carlos J, Lux M, Giró-i-Nieto X, Muñoz-Trallero P, Anagnostopoulos N. Visual Information Retrieval in Endoscopic Video Archives. In IEEE/ACM International Workshop on Content-Based Multimedia Indexing - CBMI 2015 . Prague, Czech Republic; 2015.  (1.67 MB)

Abstract

In endoscopic procedures, surgeons work with live video strea\-ms 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.

[Paper on arXiv]

[CBMI 2015 Conference website]

Presented in the Special Session on Medical Multimedia Processing (acceptance rate for special sessions= 55%)

 

Projects

BigGraph - Heterogeneous information and graph signal processing for the Big Data era. Application to high-throughput, remote sensing, multimedia and human computer interfaces.
Multimedia Retrieval
Biomedical Applications