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GreenEyes: Networked energy-aware visual analysis
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2015 (Engelska)Ingår i: 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015, IEEE conference proceedings, 2015Konferensbidrag, Publicerat paper (Refereegranskat)
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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.

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IEEE conference proceedings, 2015.
Serie
IEEE International Conference on Multimedia and Expo Workshops, ISSN 2330-7927
Nyckelord [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)
Nationell ämneskategori
Datorseende och robotik (autonoma system)
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
Konferens
2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015, 29 June 2015 through 3 July 2015
Anmärkning

QC 20160203

Tillgänglig från: 2016-02-03 Skapad: 2016-02-02 Senast uppdaterad: 2018-01-10Bibliografiskt granskad

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Eriksson, EmilFodor, Viktoria

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Totalt: 208 träffar
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