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Authors: Sawsan A. Elsayed and Maha M. Elsabrouty

Affiliation: Egypt-Japan University of Science and Technology (EJUST), Egypt

Keyword(s): Compressed Sensing, Video Acquisition, Perceptual Weighting, Human Visual System (HVS).

Related Ontology Subjects/Areas/Topics: Av-Communication and Multimedia ; Digital Signal Processing ; Image and Multidimensional Signal Processing ; Telecommunications

Abstract: Efficient video acquisition and coding techniques have received increasing attention due to the wide spread of multimedia telecommunication. Compressed Sensing (CS) is an emerging technology, which enables acquiring video in a compressed manner. CS proves to be very powerful for energy constrained devices that benefit from processing at lower sampling rates. In this paper, a framework for compressed video sensing (CVS) that relies on an efficient fixed perceptual weighting strategy is adopted for acquisition and recovery. The proposed compressed sensing strategy focuses the measurements on the most perceptually pronounced coefficients. Three weighting schemes are developed and compared with standard CS. Simulation results demonstrate that the proposed framework provides a significant improvement in its three different setups over standard CS in terms of both standard and perceptual objective quality assessment metrics.

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Paper citation in several formats:
A. Elsayed, S. and M. Elsabrouty, M. (2015). Perceptually Weighted Compressed Sensing for Video Acquisition. In Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS; ISBN 978-989-758-084-0; ISSN 2184-2817, SciTePress, pages 209-216. DOI: 10.5220/0005243302090216

@conference{peccs15,
author={Sawsan {A. Elsayed}. and Maha {M. Elsabrouty}.},
title={Perceptually Weighted Compressed Sensing for Video Acquisition},
booktitle={Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS},
year={2015},
pages={209-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005243302090216},
isbn={978-989-758-084-0},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS
TI - Perceptually Weighted Compressed Sensing for Video Acquisition
SN - 978-989-758-084-0
IS - 2184-2817
AU - A. Elsayed, S.
AU - M. Elsabrouty, M.
PY - 2015
SP - 209
EP - 216
DO - 10.5220/0005243302090216
PB - SciTePress

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