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Real-time video streaming over WiMAX...
~
Raoufi, Pariya.
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Real-time video streaming over WiMAX networks with H.264 coding.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Real-time video streaming over WiMAX networks with H.264 coding./
Author:
Raoufi, Pariya.
Description:
72 p.
Notes:
Source: Masters Abstracts International, Volume: 52-06.
Contained By:
Masters Abstracts International52-06(E).
Subject:
Computer Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MS24097
ISBN:
9780499240972
Real-time video streaming over WiMAX networks with H.264 coding.
Raoufi, Pariya.
Real-time video streaming over WiMAX networks with H.264 coding.
- 72 p.
Source: Masters Abstracts International, Volume: 52-06.
Thesis (M.Sc.)--Simon Fraser University (Canada), 2013.
Broadcasting multimedia content over a wireless channel from a base station to wireless devices is a challenging compromise between the limited battery power of wireless devices and the expected quality of the users. A further complication is that the data rate of a wireless channel changes over time. In this thesis, we develop a Power-Rate-Buffer-Distortion optimization framework with the goal of minimizing the energy consumption of a wireless receiver subject to quality and data rate constraints. Our framework provides a method for selecting coding parameters, such as bit rate and intra refresh rate, in a way that minimizes the energy consumption of the receiver. Our simulation results show that our framework can reduce energy consumption by up to 50% compared to the conventional AVC video streaming method, depending on the required video quality.
ISBN: 9780499240972Subjects--Topical Terms:
626642
Computer Science.
Real-time video streaming over WiMAX networks with H.264 coding.
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Real-time video streaming over WiMAX networks with H.264 coding.
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72 p.
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Source: Masters Abstracts International, Volume: 52-06.
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Adviser: Joseph Peters.
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Thesis (M.Sc.)--Simon Fraser University (Canada), 2013.
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Broadcasting multimedia content over a wireless channel from a base station to wireless devices is a challenging compromise between the limited battery power of wireless devices and the expected quality of the users. A further complication is that the data rate of a wireless channel changes over time. In this thesis, we develop a Power-Rate-Buffer-Distortion optimization framework with the goal of minimizing the energy consumption of a wireless receiver subject to quality and data rate constraints. Our framework provides a method for selecting coding parameters, such as bit rate and intra refresh rate, in a way that minimizes the energy consumption of the receiver. Our simulation results show that our framework can reduce energy consumption by up to 50% compared to the conventional AVC video streaming method, depending on the required video quality.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MS24097
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