Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/30444

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dc.contributor.authorLaranjo, Isabel Maria Cunhapor
dc.contributor.authorBraga, Joel Telespor
dc.contributor.authorAssunção, Domingospor
dc.contributor.authorGonçalves, Carla Rolanda Rochapor
dc.contributor.authorLopes, Luíspor
dc.contributor.authorPinto, Jorge Manuel Nunes Correiapor
dc.contributor.authorAlves, Victorpor
dc.contributor.editorRamos, Carlos-
dc.contributor.editorNovais, Paulo-
dc.contributor.editorNihan, Céline Ehrwein-
dc.contributor.editorCorchado Rodríguez, Juan-
dc.date.accessioned2014-10-09T10:32:33Z-
dc.date.available2014-10-09T10:32:33Z-
dc.date.issued2014-
dc.identifier.isbn978-3-319-07595-2por
dc.identifier.issn2194-5357por
dc.identifier.urihttp://hdl.handle.net/1822/30444-
dc.description.abstractIn 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.por
dc.description.sponsorshipThis work is funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project FCOMP- 01-0202-FEDER- 013853 and by National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project PEst-OE/EEI/UI0752/2014.por
dc.language.isoengpor
dc.publisherSpringer International Publishingpor
dc.rightsrestrictedAccesspor
dc.subjectEndoscopypor
dc.subjectWhite-light endoscopypor
dc.subjecte-Healthpor
dc.subjectMy endoscopypor
dc.subjectMIV processingpor
dc.subjectVideo summarizationpor
dc.subjectImage and video processingpor
dc.titleVideo processing architecture: a solution for endoscopic procedures resultspor
dc.typeconferencePaper-
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-319-07596-9_13por
oaire.citationStartPage117por
oaire.citationEndPage125por
oaire.citationIssue291por
oaire.citationVolume291por
dc.identifier.doi10.1007/978-3-319-07596-9_13por
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
sdum.journalAdvances in Intelligent Systems and Computingpor
sdum.bookTitleAmbient Intelligence : Software and Applicationspor
Appears in Collections:DI/CCTC - Livros e Capítulos de livros

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