Paper Info
Title
GreenEyes: Networked energy-aware visual analysis
Abstract
The GreenEyes project aims at developing a comprehensive set of new methodologies, practical algorithms and protocols, to empower wireless sensor networks with vision capabilities. The key tenet of this research 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. Specifically, GreenEyes will pursue the following goals: i) energy-constrained extraction of visual features; ii) rate-efficiency modelling and coding of visual feature; iii) networking streams of visual features. This will have a significant impact on several scenarios including, e.g., smart cities and environmental monitoring.
Year
DOI
Venue
2015
10.1109/ICMEW.2015.7169823
Multimedia & Expo Workshops
Keywords
Field
DocType
Local Visual Features,Visual Analysis,Visual Sensor Networks
Computer vision,Algorithm design,Visualization,Computer science,Image coding,Coding (social sciences),Feature extraction,Artificial intelligence,Wireless sensor network,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
2330-7927
0
0.34
References 
Authors
13
4
Name
Order
Citations
PageRank
Luca Baroffio123614.46
Matteo Cesana282663.33
Alessandro Redondi328025.99
Marco Tagliasacchi486968.63