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GreenEyes: Networked energy-aware visual analysis
Vise andre og tillknytning
2015 (engelsk)Inngår i: 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015, IEEE conference proceedings, 2015Konferansepaper, Publicerat paper (Fagfellevurdert)
Resurstyp
Text
Abstract [en]

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.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2015.
Serie
IEEE International Conference on Multimedia and Expo Workshops, ISSN 2330-7927
Emneord [en]
Local Visual Features, Visual Analysis, Visual Sensor Networks, Algorithms, Power management, Wireless sensor networks, Algorithms and protocols, Energy-constrained, Environmental Monitoring, Succinct representation, Vision capability, Visual feature, Power management (telecommunication)
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-181620DOI: 10.1109/ICMEW.2015.7169823ISI: 000380531100083Scopus ID: 2-s2.0-84945563475ISBN: 9781479970797 (tryckt)OAI: oai:DiVA.org:kth-181620DiVA, id: diva2:900141
Konferanse
2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015, 29 June 2015 through 3 July 2015
Merknad

QC 20160203

Tilgjengelig fra: 2016-02-03 Laget: 2016-02-02 Sist oppdatert: 2018-01-10bibliografisk kontrollert

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Eriksson, EmilFodor, Viktoria

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