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TitleVideo processing architecture: a solution for endoscopic procedures results
Author(s)Laranjo, Isabel Maria Cunha
Braga, Joel Teles
Assunção, Domingos
Gonçalves, Carla Rolanda Rocha
Lopes, Luís
Pinto, Jorge Manuel Nunes Correia
Alves, Victor
Editor(s)Ramos, Carlos
Novais, Paulo
Nihan, Céline Ehrwein
Corchado Rodríguez, Juan
White-light endoscopy
My endoscopy
MIV processing
Video summarization
Image and video processing
Issue date2014
PublisherSpringer International Publishing AG
JournalAdvances in Intelligent Systems and Computing
Abstract(s)In this paper we propose an architecture for processing endoscopic procedures results. The goal is to create a complete system capable of processing any type of endoscopic multimedia results, in order to overcome the most common issues in the endoscopic domain (e.g. video’s long-duration, gastroenterologist's possible difficulty to maintain the focus and efficiency during the viewing process, imperfections in images/videos). It was this scenario that led to the conception of the MIVprocessing solution, which will address these and other problems, providing an added value to the elaboration of diagnoses. The MIVprocessing is composed of five tasks: Video Summarization (elimination of the “non-informative” frames); Pre-Processing (correction/improvement of the frames); Pre-Detection; Segmentation; and Feature Extraction and Classification. The idea is to create a framework that brings together the capabilities of different but at the same time complementary concepts (e.g. image and signal processing, machine learning, computer vision). This conjugation applied to the endoscopic domain provides a set of features capable of improving the gastroenterologist's activities during and after the procedure.
TypeConference paper
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:ICVS - Artigos em livros de atas / Papers in proceedings
DI/CCTC - Livros e Capítulos de livros

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