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Authors: Octavian Biris and Joseph L. Mundy

Affiliation: Brown University, United States

Keyword(s): JPEG2000, Compression, Background Modeling, Surveillance Video.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: This paper proposes a scheme for efficient compression of wide-area aerial video collectors (WAVC) data, based on background modeling and foreground detection using a Gaussian mixture at each pixel. The method implements the novel approach of treating the pixel intensities and wavelet coefficients as random variables. A modified JPEG 2000 algorithm based on the algebra of random variables is then used to perform the compression on the model. This approach leads to a very compact model which is selectively decompressed only in foreground regions. The resulting compression ratio is on the order of 16:1 with minimal loss of detail for moving objects.

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Paper citation in several formats:
Biris, O. and L. Mundy, J. (2012). HIGH RESOLUTION SURVEILLANCE VIDEO COMPRESSION - Using JPEG2000 Compression of Random Variables. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 38-45. DOI: 10.5220/0003840800380045

@conference{visapp12,
author={Octavian Biris. and Joseph {L. Mundy}.},
title={HIGH RESOLUTION SURVEILLANCE VIDEO COMPRESSION - Using JPEG2000 Compression of Random Variables},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={38-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003840800380045},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - HIGH RESOLUTION SURVEILLANCE VIDEO COMPRESSION - Using JPEG2000 Compression of Random Variables
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Biris, O.
AU - L. Mundy, J.
PY - 2012
SP - 38
EP - 45
DO - 10.5220/0003840800380045
PB - SciTePress