Wireless Video Sensor Networks: Advances in Distributed Video Coding
Wireless Video Sensors Networks (WVSNs) generally suffer from the constraint that their sensor nodes must consume very little power. In this rapidly emerging video application, the traditional video coding architecture cannot be used due to its high encoding complexity. Thankfully, some theorems fro...
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my.utp.eprints.68852017-01-19T08:23:11Z Wireless Video Sensor Networks: Advances in Distributed Video Coding Elamin, Abdelrahman Jeoti , Varun Samir, B. B. TK Electrical engineering. Electronics Nuclear engineering Wireless Video Sensors Networks (WVSNs) generally suffer from the constraint that their sensor nodes must consume very little power. In this rapidly emerging video application, the traditional video coding architecture cannot be used due to its high encoding complexity. Thankfully, some theorems from Information Theory suggest that this problem can be solved by shifting the encoder tasks, partially or totally, to the decoder. These theorems are employed in the design of so-called Distributed Video Coding (DVC) solutions, the subject matter of this chapter. The chapter not only introduces the DVC but also reviews some important developments of the popular Stanford Wyner-Ziv coding architecture and caps it with latest research trends highlighting a Region-Based-Wyner-Ziv video codec that enables low-complexity encoding while achieving high compression efficiency. IGI Global 2011 Book Section PeerReviewed application/pdf http://eprints.utp.edu.my/6885/1/Distributed_Video_Coding.pdf http://www.igi-global.com/chapter/wireless-video-sensor-networks/59752 Elamin, Abdelrahman and Jeoti , Varun and Samir, B. B. (2011) Wireless Video Sensor Networks: Advances in Distributed Video Coding. In: Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications. IGI Global, pp. 40-58. ISBN 13: 9781613501535; 10: 1613501544, EISBN13: 9781613501542 http://eprints.utp.edu.my/6885/ |
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TK Electrical engineering. Electronics Nuclear engineering Elamin, Abdelrahman Jeoti , Varun Samir, B. B. Wireless Video Sensor Networks: Advances in Distributed Video Coding |
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Wireless Video Sensors Networks (WVSNs) generally suffer from the constraint that their sensor nodes must consume very little power. In this rapidly emerging video application, the traditional video coding architecture cannot be used due to its high encoding complexity. Thankfully, some theorems from Information Theory suggest that this problem can be solved by shifting the encoder tasks, partially or totally, to the decoder. These theorems are employed in the design of so-called Distributed Video Coding (DVC) solutions, the subject matter of this chapter. The chapter not only introduces the DVC but also reviews some important developments of the popular Stanford Wyner-Ziv coding architecture and caps it with latest research trends highlighting a Region-Based-Wyner-Ziv video codec that enables low-complexity encoding while achieving high compression efficiency. |
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Book Section |
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Elamin, Abdelrahman Jeoti , Varun Samir, B. B. |
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Elamin, Abdelrahman Jeoti , Varun Samir, B. B. |
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Elamin, Abdelrahman |
title |
Wireless Video Sensor Networks: Advances in Distributed Video Coding |
title_short |
Wireless Video Sensor Networks: Advances in Distributed Video Coding |
title_full |
Wireless Video Sensor Networks: Advances in Distributed Video Coding |
title_fullStr |
Wireless Video Sensor Networks: Advances in Distributed Video Coding |
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Wireless Video Sensor Networks: Advances in Distributed Video Coding |
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wireless video sensor networks: advances in distributed video coding |
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IGI Global |
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2011 |
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http://eprints.utp.edu.my/6885/1/Distributed_Video_Coding.pdf http://www.igi-global.com/chapter/wireless-video-sensor-networks/59752 http://eprints.utp.edu.my/6885/ |
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