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GreenEyes: Networked Energy-Aware Visual Analysis

Baroffio, L. ; Cesana, M. ; Redondi, A. ; Tagliasacchi, M. ; Ascenso, J. ; Monteiro, P. ; Eriksson, E. ; Dan, G. ; Fodor, V.

GreenEyes: Networked Energy-Aware Visual Analysis, Proc IEEE International Conference on Multimedia & Expo Workshops ICMEW, Torino, Italy, Vol. -, pp. - - -, July, 2015.

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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.