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Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks
Joint Authors
Nguyen Huu, Phat
Tran-Quang, Vinh
Miyoshi, Takumi
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-21
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Nguyen Huu, Phat& Tran-Quang, Vinh& Miyoshi, Takumi. 2012. Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-470900
Modern Language Association (MLA)
Nguyen Huu, Phat…[et al.]. Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-470900
American Medical Association (AMA)
Nguyen Huu, Phat& Tran-Quang, Vinh& Miyoshi, Takumi. Video Compression Schemes Using Edge Feature on Wireless Video Sensor Networks. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-470900
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470900