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Conference Paper: Balancing image quality and energy consumption in visual sensor networks

TitleBalancing image quality and energy consumption in visual sensor networks
Authors
Issue Date2006
PublisherIEEE.
Citation
2006 1St International Symposium On Wireless Pervasive Computing, 2006, v. 2006, p. 1-5 How to Cite?
AbstractApplications of wireless sensor networks have attracted a lot of attention recently. Cameras are installed in various locations of a wide area to capture images of targeted objects. Because of constraints in computational capability in these distributed cameras, it may not be feasible to analyze these images in the sensors but they have to be transmitted to a centralized server hop by hop through the sensor network. To reduce the energy used in transmission, the size of the images should be kept small by applying a large compression ratio, which may degrade image quality. This paper studies the tradeoff between image quality and energy consumption. We study the scenario that a number of camera-equipped sensors are taking pictures of the same object, and the pictures of adjacent cameras may overlap. We demonstrate that by allowing intermediate sensors to process the images and combine the overlapping portions, the total energy spent on transmission is reduced subject to a certain degradation in image quality. The tradeoff between image quality and energy consumption of different routing presents an important study on the practicability of visual sensor networks. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45883
References

 

DC FieldValueLanguage
dc.contributor.authorChow, KYen_HK
dc.contributor.authorLui, KSen_HK
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2007-10-30T06:37:40Z-
dc.date.available2007-10-30T06:37:40Z-
dc.date.issued2006en_HK
dc.identifier.citation2006 1St International Symposium On Wireless Pervasive Computing, 2006, v. 2006, p. 1-5en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45883-
dc.description.abstractApplications of wireless sensor networks have attracted a lot of attention recently. Cameras are installed in various locations of a wide area to capture images of targeted objects. Because of constraints in computational capability in these distributed cameras, it may not be feasible to analyze these images in the sensors but they have to be transmitted to a centralized server hop by hop through the sensor network. To reduce the energy used in transmission, the size of the images should be kept small by applying a large compression ratio, which may degrade image quality. This paper studies the tradeoff between image quality and energy consumption. We study the scenario that a number of camera-equipped sensors are taking pictures of the same object, and the pictures of adjacent cameras may overlap. We demonstrate that by allowing intermediate sensors to process the images and combine the overlapping portions, the total energy spent on transmission is reduced subject to a certain degradation in image quality. The tradeoff between image quality and energy consumption of different routing presents an important study on the practicability of visual sensor networks. © 2006 IEEE.en_HK
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dc.format.extent4084 bytes-
dc.format.extent4014 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartof2006 1st International Symposium on Wireless Pervasive Computingen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleBalancing image quality and energy consumption in visual sensor networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLui, KS:kslui@eee.hku.hken_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLui, KS=rp00188en_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ISWPC.2006.1613565en_HK
dc.identifier.scopuseid_2-s2.0-33750410452en_HK
dc.identifier.hkuros117406-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33750410452&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2006en_HK
dc.identifier.spage1en_HK
dc.identifier.epage5en_HK
dc.identifier.scopusauthoridChow, KY=15046367600en_HK
dc.identifier.scopusauthoridLui, KS=7103390016en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK

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