Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks
This paper puts forward a low-complexity video compression algorithm that uses the edges of objects in the frames to estimate and compensate for motion. Based on the proposed algorithm, two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network (WVSN) are...
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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2012/421307 |
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author | Phat Nguyen Huu Vinh Tran-Quang Takumi Miyoshi |
author_facet | Phat Nguyen Huu Vinh Tran-Quang Takumi Miyoshi |
author_sort | Phat Nguyen Huu |
collection | DOAJ |
description | This paper puts forward a low-complexity video compression algorithm that uses the edges of objects in the frames to estimate and compensate for motion. Based on the proposed algorithm, two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network (WVSN) are proposed. In these schemes, we divide the compression process into several small processing components, which are then distributed to multiple nodes along a path from a source node to a cluster head in a cluster. We conduct extensive computational simulations to examine the truth of our method and find that the proposed schemes not only balance energy consumption of sensor nodes by sharing of the processing tasks but also improve the quality of decoding video by using edges of objects in the frames. |
format | Article |
id | doaj-art-736dfea2cf7c4cd28959f9ac68aba188 |
institution | Kabale University |
issn | 2090-0147 2090-0155 |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Electrical and Computer Engineering |
spelling | doaj-art-736dfea2cf7c4cd28959f9ac68aba1882025-02-03T05:52:36ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552012-01-01201210.1155/2012/421307421307Video Compression Schemes Using Edge Feature on Wireless Video Sensor NetworksPhat Nguyen Huu0Vinh Tran-Quang1Takumi Miyoshi2Graduate School of Engineering and Science, Shibaura Institute of Technology, Saitama 337–8570, JapanSchool of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi 112400, VietnamDepartment of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama 337-8570, JapanThis paper puts forward a low-complexity video compression algorithm that uses the edges of objects in the frames to estimate and compensate for motion. Based on the proposed algorithm, two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network (WVSN) are proposed. In these schemes, we divide the compression process into several small processing components, which are then distributed to multiple nodes along a path from a source node to a cluster head in a cluster. We conduct extensive computational simulations to examine the truth of our method and find that the proposed schemes not only balance energy consumption of sensor nodes by sharing of the processing tasks but also improve the quality of decoding video by using edges of objects in the frames.http://dx.doi.org/10.1155/2012/421307 |
spellingShingle | Phat Nguyen Huu Vinh Tran-Quang Takumi Miyoshi Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks Journal of Electrical and Computer Engineering |
title | Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks |
title_full | Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks |
title_fullStr | Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks |
title_full_unstemmed | Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks |
title_short | Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks |
title_sort | video compression schemes using edge feature on wireless video sensor networks |
url | http://dx.doi.org/10.1155/2012/421307 |
work_keys_str_mv | AT phatnguyenhuu videocompressionschemesusingedgefeatureonwirelessvideosensornetworks AT vinhtranquang videocompressionschemesusingedgefeatureonwirelessvideosensornetworks AT takumimiyoshi videocompressionschemesusingedgefeatureonwirelessvideosensornetworks |