MIC_RS_TM

Multidimensional Image Coding. Applications to Remote Sensing and Telemedicine

 Coordinatore UNIVERSITAT AUTONOMA DE BARCELONA 

 Organization address address: Campus UAB -BELLATERRA- s/n
city: CERDANYOLA DEL VALLES
postcode: 8193

contact info
Titolo: Ms.
Nome: Queralt
Cognome: Gonzalez Matos
Email: send email
Telefono: +34-93-581 2854
Fax: +34-93-581 2023

 Nazionalità Coordinatore Spain [ES]
 Totale costo 155˙390 €
 EC contributo 155˙390 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-IIF
 Funding Scheme MC-IIF
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-07-12   -   2012-01-11

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAT AUTONOMA DE BARCELONA

 Organization address address: Campus UAB -BELLATERRA- s/n
city: CERDANYOLA DEL VALLES
postcode: 8193

contact info
Titolo: Ms.
Nome: Queralt
Cognome: Gonzalez Matos
Email: send email
Telefono: +34-93-581 2854
Fax: +34-93-581 2023

ES (CERDANYOLA DEL VALLES) coordinator 155˙390.50

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

remote    spectral    medical    spatial    granted    dept    prof    sensing    transmission    coding    gici    data    spain    massive    temporal    sensors    centres    engineering    ultra    images    marcellin   

 Obiettivo del progetto (Objective)

'The research proposal focuses on the coding and transmission of massive images, i.e. those images acquired by sensors able to capture data with more than 3 dimensions. Such multi-dimensional images are currently available in the medical environment, including functional Magnetic Resonance Imaging (fMRI) in 4D (3D spatial 1D temporal), and also in Remote Sensing scenarios, e.g. through Atmospheric Infrared Sounder Sensor (AIRS), which continuously captures ultra-spectral images of the Earth’s surface producing ultra-spectral video (2D spatial 1D spectral 1D temporal). With the ever increasing number of sensors acquiring massive images in airplanes, satellites, and medical centres, there is an urgent need in institutions and centres to properly deal with such data. There are few studies tackling the coding and proper manipulation of such massive data sets. Nevertheless, Prof. Michael W. Marcellin (Dept. of Electrical and Computer Engineering, University of Arizona, USA) and the Group on Interactive Coding of Images (GICI, Dept. of Information and Communications Engineering, Universitat Autònoma Barcelona, Spain) have established themselves as pioneers in this nascent field. The core of the proposed project will be built upon the ISO standard JPEG2000; Prof. Marcellin was one of its key developers, and many applications thereof. We hereby propose to host Prof. Marcellin with GICI during 18 months to create the ideal team for research on the coding and transmission of massive images. The study will be undertaken on digital medical images granted by Parc Tauli Health Corporation (Sabadell, Spain), and on remote sensing images granted by Center for Ecological Research and Forestry Applications (Bellaterra, Spain), ensuring the relevance and applicability of the proposal. The project is expected to have a truly global impact and influence, helping to raise European excellence and competitiveness, and is devised as a first step towards long term collaboration.'

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