Florent Capelli

5 stars based on 46 reviews

Image analysis Image processing Pattern recognition Content-based image retrieval Multiresolution imaging Semantic knowledge Hierarchical segmentation Mathematical morphology Computer vision Remote sensing Medical Imaging.

I am involved and I have been involved in different research projects related to medical imaging and remote sensing image analysis. The TIMES project aims to support the analysis of satellite image time series in order to monitor the dynamics of our Planet, its land-cover and land-use.

The objective of this project is to provide new high-performance processing techniques for mapping and monitoring environmental changes from massive, heterogeneous and high frequency data times series. Our team covers the image processing part of the project, with the main mission of developing and validating novel image analysis methods dedicated to environmental monitoring of landscape objects e. The SHADES project is an interdisciplinary project on the security of documents combining experts from computer science and law.

The objective of this project is to provide a new tool for authenticating a document through an advanced electronic signature in order to fight against fraud and falsification.

This will be completed by a study on the legal position of this technology and its interest for legal professionals. The project will be conducted in collaboration with a trusted third party and an end user. The Coclico project "COllaboration, CLassification, Incrementality and Knowledge" is a research project whose aim is to propose a generic method allowing multi-scale analysis of large volumes of spatio-temporal imaging data of variable quality and provided in continuous with remote sensing technologies over urban areas.

It consists in studying and implementing an incremental multistrategy approach guided by knowledge. It must guarantee a final quality of the results by taking into account the quality of the data and binaire tableau de bordeaux of knowledge. The Coclico project aims to develop automatic or semi-automatic methods, tailored to the complexity and rapid evolution of large masses of multi-source spatiotemporal data, relying on advanced methods from data binaire tableau de bordeaux and the machine learning for the analysis and monitoring of complex phenomena.

Medical images contain a wealth of information, such as anatomy and pathology, which is often not explicit and computationally binaire tableau de bordeaux. Information schemes are being developed to describe the semantic content of images, but such binaire tableau de bordeaux can be unwieldy to operationalize because there are few tools to enable users to capture structured information easily as part of the routine research workflow.

This projects aims at developing a Binaire tableau de bordeaux semantic annotation tool for radiological images called ePad, binaire tableau de bordeaux open source tool enabling researchers and clinicians to create semantic annotations that are used to characterize images for classification or image retrieval purpose.

The goal of the iCBIR project "Interactive Content-Based Image Retrieval for real-time decision support in Radiology" is to conduct research activities centered on the development of innovative informatics tools that provide computer-based assistance to binaire tableau de bordeaux to enhance their image interpretation efficiency. Indeed a major challenge to effective Radiology practice is efficiently binaire tableau de bordeaux cross-sectional studies that contain thousands of images.

This results in variability in Radiologist interpretive accuracy and suboptimal patient care. Our tools will assist radiologists by finding, within large image collections, images containing visually similar abnormalities and the associated diagnoses and, where available, responses to therapies.

A key aspect of the work will be developing methods of Relevance Feedback to enable the system to continually improve the accuracy of relevant care retrieval during clinical use. This project aims at providing to binaire tableau de bordeaux a semi-automatic and complete process for monitoring soil erosion.

The project will focus more precisely on two important aspects of this process: FoDoMuSt is a research project about multi-strategic data mining for extraction and characterisation of urban vegetation based on a database of remote sensing images.

The main idea is to improve the result of one clustering on some data by using a set of clustering methods and making them collaborate. Link to a ranked list of Computer Science conferences. My page on scopus and my page on DBLP:. Introduction to algorithms and programming M Advanced algorithms module responsible M Web programming - Server side MC: Web programming - Rich client MC: Introduction to digital image processing module responsible.

Medical image analysis level II. This is a fantastic opportunity to develop a diverse understanding of the world of European business and of the computing industry. I have had the pleasure of working with the following people:.

Research Keywords Image analysis Image processing Pattern recognition Content-based image retrieval Multiresolution imaging Semantic knowledge Hierarchical segmentation Mathematical morphology Computer vision Remote sensing Medical Imaging Projects I am involved and I have been involved in different research projects related to medical imaging and remote sensing image analysis. French Agence Nationale de le Recherche The TIMES project aims to support the analysis of satellite binaire tableau de bordeaux time series in order to monitor the dynamics of our Planet, its land-cover and land-use.

Associated partner since Funding: French Agence Nationale de le Recherche The Coclico project "COllaboration, CLassification, Incrementality and Knowledge" is a research project whose aim is to propose a generic method allowing multi-scale analysis of large volumes of spatio-temporal imaging data of variable quality and provided in continuous with remote sensing technologies over urban areas.

France-Stanford Collaborative Projects The goal of the iCBIR project "Interactive Content-Based Image Retrieval for real-time decision support in Radiology" is to conduct research activities centered on the development of innovative informatics tools that provide computer-based assistance to radiologists to enhance their image interpretation efficiency. ANR Foster - Involvement: Involved as Phd student Funding: ACI Fodomust - Involvement: Involved as Msc student Funding: Publications Link to a ranked list of Computer Science conferences.

My page on scopus and my page binaire tableau de bordeaux DBLP: Invited Talks [ 1 ] Kurtz, C. Seminars [ 1 ] Kurtz, C. Teaching "Me" by the students: Students supervision I binaire tableau de bordeaux had the pleasure of working with the following people: Vincent co-doctoral advisorJ. Ogier co-doctoral advisorF. Wendling doctoral advisorC. Hierarchical multi-feature image representation University: Passat doctoral advisorE.

Spatio-temporal features in satellite image time series Supervisors: Content-based image retrieval of multisequence MRI Supervisors: Integrating relevance feedback in content-based image retrieval applications for medical imaging Supervisors: Hierarchical extraction of urban patterns from remote sensing Images.

Utilisation du Wrapping Java Supervisors: Large-scale content-based image retrieval in medical imaging Supervisors: Content-based image retrieval in medical imaging. ANR Coclico Involvement: A hierarchical top-down methodologyPattern Recognition45 2: French national grant

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