Visual Information Retrieval in Endoscopic Video Archives

04/29/2015
by   Jennifer Roldan-Carlos, et al.
0

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.

READ FULL TEXT

page 1

page 4

page 5

research
07/18/2012

Content Based Multimedia Information Retrieval to Support Digital Libraries

Content-based multimedia information retrieval is an interesting researc...
research
03/30/2021

VSS: A Storage System for Video Analytics [Technical Report]

We present a new video storage system (VSS) designed to decouple high-le...
research
11/21/2022

Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video Retrieval

In this paper we tackle the cross-modal video retrieval problem and, mor...
research
04/06/2022

ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound

We introduce an audiovisual method for long-range text-to-video retrieva...
research
05/07/2019

Interactive Video Retrieval with Dialog

Now that everyone can easily record videos, the quantity of which is con...
research
10/03/2018

VStore: A Data Store for Analytics on Large Videos

We present VStore, a data store for supporting fast, resource-efficient ...
research
04/25/2021

Swimmer Stroke Rate Estimation From Overhead Race Video

In this work, we propose a swimming analytics system for automatically d...

Please sign up or login with your details

Forgot password? Click here to reset