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Permanent link (DOI): https://doi.org/10.7939/R36D98

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Theses and Dissertations

Maximum frame rate video acquisition using adaptive compressed sensing Open Access

Descriptions

Other title
Subject/Keyword
Video compression
Video recording
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Liu, Zhaorui
Supervisor and department
Zhao, Vicky (Electrical and Computer Engineering)
Examining committee member and department
Mandal, Mrinal (Electrical and Computer Engineering)
Zhao, Vicky (Electrical and Computer Engineering)
Han, Bin (Mathematical and Statistical Sciences)
Department
Department of Electrical and Computer Engineering
Specialization

Date accepted
2011-01-24T22:27:00Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
Compressed sensing is a novel technology to acquire and reconstruct sparse signals below the Nyquist rate. This thesis explores the temporal redundancy in videos, and proposes a block-based adaptive framework for compressed video sampling. The proposed framework classifies blocks into different types depending on temporal correlation, and adjusts the sampling and reconstruction strategy accordingly. This framework also considers the texture complexity of regions, and adaptively adjusts the number of measurements collected. A frame rate selection module is included to select the maximum achievable frame rate under the hardware sampling rate and the perceptual quality constraints. Simulation results show that compared to the raster scan, the proposed framework can increase the frame rate by up to six times depending on the scene and the video quality constraints. A 1.5~7.8dB gain in the average PSNR of the reconstructed frames is observed when compared with prior works on compressed video sensing.
Language
English
DOI
doi:10.7939/R36D98
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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