Digital watermarking for real-time hardware accelerated scalable video streaming
To sustainably address these high computational complexities, this research proposes a low complexity and a highly transparent watermarking technique for real-time hardware accelerated spatial scalable video streaming. In achieving this goal, two contributions are discussed here. The first contributi...
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my-mmu-ep.63262016-05-05T02:09:55Z Digital watermarking for real-time hardware accelerated scalable video streaming 2015-04 Buhari, Adamu Muhammad QA75.5-76.95 Electronic computers. Computer science To sustainably address these high computational complexities, this research proposes a low complexity and a highly transparent watermarking technique for real-time hardware accelerated spatial scalable video streaming. In achieving this goal, two contributions are discussed here. The first contribution puts forward a real-time high resolution down-sampling algorithm on many-core processor for spatial scalable video coding. This contribution analyses the principal architecture of a serial down-sampling algorithm in the Joint-Scalable-Video-Model (JSVM) reference software and identify its performance limitations for spatial scalability. Then, a parallel multi-core down-sampling algorithm is studied as benchmark. Experimental results for this algorithm using an 8-core processor exhibits performance speedup of 5.25× in down-sampling a QXGA video resolution into three lower resolution layers (i.e., Full-HD, HD and quarter-HD). 2015-04 Thesis http://shdl.mmu.edu.my/6326/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering |
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Multimedia University |
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MMU Institutional Repository |
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QA75.5-76.95 Electronic computers Computer science |
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QA75.5-76.95 Electronic computers Computer science Buhari, Adamu Muhammad Digital watermarking for real-time hardware accelerated scalable video streaming |
description |
To sustainably address these high computational complexities, this research proposes a low complexity and a highly transparent watermarking technique for real-time hardware accelerated spatial scalable video streaming. In achieving this goal, two contributions are discussed here. The first contribution puts forward a real-time high resolution down-sampling algorithm on many-core processor for spatial scalable video coding. This contribution analyses the principal architecture of a serial down-sampling algorithm in the Joint-Scalable-Video-Model (JSVM) reference software and identify its performance limitations for spatial scalability. Then, a parallel multi-core down-sampling algorithm is studied as benchmark. Experimental results for this algorithm using an 8-core processor exhibits performance speedup of 5.25× in down-sampling a QXGA video resolution into three lower resolution layers (i.e., Full-HD, HD and quarter-HD). |
format |
Thesis |
qualification_level |
Master's degree |
author |
Buhari, Adamu Muhammad |
author_facet |
Buhari, Adamu Muhammad |
author_sort |
Buhari, Adamu Muhammad |
title |
Digital watermarking for real-time hardware accelerated scalable video streaming |
title_short |
Digital watermarking for real-time hardware accelerated scalable video streaming |
title_full |
Digital watermarking for real-time hardware accelerated scalable video streaming |
title_fullStr |
Digital watermarking for real-time hardware accelerated scalable video streaming |
title_full_unstemmed |
Digital watermarking for real-time hardware accelerated scalable video streaming |
title_sort |
digital watermarking for real-time hardware accelerated scalable video streaming |
granting_institution |
Multimedia University |
granting_department |
Faculty of Engineering |
publishDate |
2015 |
_version_ |
1747829630204641280 |