Digital watermarking for real-time hardware accelerated scalable video streaming

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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Main Author: Buhari, Adamu Muhammad
Format: Thesis
Published: 2015
Subjects:
QA75.5-76.95 Electronic computers
Computer science
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id my-mmu-ep.6326
record_format uketd_dc
spelling 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
institution Multimedia University
collection MMU Institutional Repository
topic QA75.5-76.95 Electronic computers
Computer science
spellingShingle 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

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