GreenEyes

Networked energy-aware visual analysis

 Coordinatore POLITECNICO DI MILANO 

 Organization address address: Via Ponzio 34/5
city: Milano
postcode: 20133

contact info
Titolo: Mr.
Nome: Fabio
Cognome: Conti
Email: send email
Telefono: +39 02 2399 3431
Fax: +39 02 2399 3437

 Nazionalità Coordinatore Italy [IT]
 Totale costo 1˙334˙031 €
 EC contributo 993˙770 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-C
 Funding Scheme CP
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-10-01   -   2015-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    POLITECNICO DI MILANO

 Organization address address: Via Ponzio 34/5
city: Milano
postcode: 20133

contact info
Titolo: Mr.
Nome: Fabio
Cognome: Conti
Email: send email
Telefono: +39 02 2399 3431
Fax: +39 02 2399 3437

IT (Milano) coordinator 0.00
2    INSTITUTO DE TELECOMUNICACOES

 Organization address address: AVENIDA DE ROVISCO PAIS
city: LISBOA
postcode: 1049-001

contact info
Titolo: Dr.
Nome: Sara
Cognome: Correia
Email: send email
Telefono: +351 21 8418453
Fax: +351 21 8418472

PT (LISBOA) participant 0.00
3    KUNGLIGA TEKNISKA HOEGSKOLAN

 Organization address address: Valhallavaegen
city: STOCKHOLM
postcode: 10044

contact info
Titolo: Ms.
Nome: Anna
Cognome: Ohlsson
Email: send email
Telefono: +46 8 790 42 60

SE (STOCKHOLM) participant 0.00

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 Word cloud

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

transmission    wireless    sensing    computation    visual    vision    network    energy    representation    sensor    networks    coding    nodes    paradigm    greeneyes    image    distributed   

 Obiettivo del progetto (Objective)

The potential of the Internet of Things is leading to a paradigm shift with an ambitious long-term vision, in which battery-operated sensing nodes are empowered with sight and are capable of complex visual analysis tasks. Unfortunately, this is out of reach with the current technology. GreenEyes will develop a comprehensive set of new methodologies, algorithms and protocols, to empower wireless sensor networks with vision capabilities comparable to those achievable by power-eager smart camera systems. The key tenet is that most visual analysis tasks can be carried out based on a succinct representation of the image, which entails both global and local features, while it disregards the underlying pixel-level representation. Still, under severe energy constraints it is imperative to optimize the computation, the coding and the transmission of the features. On the computation and coding side, GreenEyes will tackle the problem by reversing the conventional compress-then-analyze paradigm. That is, image features are collected by sensing nodes, processed, and delivered to final destination(s) in order to enable higher level visual analysis tasks by means of either centralized or distributed detectors and classifiers, somewhat mimicking the processing of visual stimuli in the early visual system. The transmission of visual features is subject to tight application-dependent requirements (bandwidth/delay guarantees), and may be affected by network conditions. Therefore, on the communication side, GreenEyes will pursue the design of networking tools for wireless multimedia sensor networks for energy efficient distributed control, information delivery and in-network processing optimized for the visual analysis task.

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