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- Publisher Website: 10.1109/ISWPC.2006.1613565
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Conference Paper: Balancing image quality and energy consumption in visual sensor networks
Title | Balancing image quality and energy consumption in visual sensor networks |
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Authors | |
Issue Date | 2006 |
Publisher | IEEE. |
Citation | 2006 1St International Symposium On Wireless Pervasive Computing, 2006, v. 2006, p. 1-5 How to Cite? |
Abstract | Applications 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 Identifier | http://hdl.handle.net/10722/45883 |
References |
DC Field | Value | Language |
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dc.contributor.author | Chow, KY | en_HK |
dc.contributor.author | Lui, KS | en_HK |
dc.contributor.author | Lam, EY | en_HK |
dc.date.accessioned | 2007-10-30T06:37:40Z | - |
dc.date.available | 2007-10-30T06:37:40Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.citation | 2006 1St International Symposium On Wireless Pervasive Computing, 2006, v. 2006, p. 1-5 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/45883 | - |
dc.description.abstract | Applications 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 |
dc.format.extent | 198181 bytes | - |
dc.format.extent | 4084 bytes | - |
dc.format.extent | 4014 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | 2006 1st International Symposium on Wireless Pervasive Computing | en_HK |
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. | - |
dc.title | Balancing image quality and energy consumption in visual sensor networks | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Lui, KS:kslui@eee.hku.hk | en_HK |
dc.identifier.email | Lam, EY:elam@eee.hku.hk | en_HK |
dc.identifier.authority | Lui, KS=rp00188 | en_HK |
dc.identifier.authority | Lam, EY=rp00131 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/ISWPC.2006.1613565 | en_HK |
dc.identifier.scopus | eid_2-s2.0-33750410452 | en_HK |
dc.identifier.hkuros | 117406 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-33750410452&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 2006 | en_HK |
dc.identifier.spage | 1 | en_HK |
dc.identifier.epage | 5 | en_HK |
dc.identifier.scopusauthorid | Chow, KY=15046367600 | en_HK |
dc.identifier.scopusauthorid | Lui, KS=7103390016 | en_HK |
dc.identifier.scopusauthorid | Lam, EY=7102890004 | en_HK |