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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Main Authors: Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi
Format: Article
Language:English
Published: Wiley 2012-01-01
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
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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
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AT vinhtranquang videocompressionschemesusingedgefeatureonwirelessvideosensornetworks
AT takumimiyoshi videocompressionschemesusingedgefeatureonwirelessvideosensornetworks