Adaptive temporal compressive sensing for video
Abstract
This paper introduces the concept of adaptive temporal compressive sensing (CS) for
video. We propose a CS algorithm to adapt the compression ratio based on the scene's
temporal complexity, computed from the compressed data, without compromising the quality
of the reconstructed video. The temporal adaptivity is manifested by manipulating
the integration time of the camera, opening the possibility to realtime implementation.
The proposed algorithm is a generalized temporal CS approach that can be incorporated
with a diverse set of existing hardware systems. © 2013 IEEE.
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https://hdl.handle.net/10161/8941Published Version (Please cite this version)
10.1109/ICIP.2013.6738004Publication Info
(2013). Adaptive temporal compressive sensing for video. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. pp. 14-18. 10.1109/ICIP.2013.6738004. Retrieved from https://hdl.handle.net/10161/8941.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
David J. Brady
Michael J. Fitzpatrick Distinguished Professor of Photonics in the Edmund T. Pratt,
Jr. School of Engineering
David Brady leads the Duke Information Spaces Project (DISP). Historically, DISP has
focused on computational imaging systems, with particular emphasis on smart cameras
for security, consumer, transportation and broadcast applications. Currently DISP
focuses primarily on the use of artificial intelligence in camera arrays for interactive
broadcasting.
Lawrence Carin
James L. Meriam Distinguished Professor of Electrical and Computer Engineering
Lawrence Carin earned the BS, MS, and PhD degrees in electrical engineering at the
University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989
he joined the Electrical Engineering Department at Polytechnic University (Brooklyn)
as an Assistant Professor, and became an Associate Professor there in 1994. In September
1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University,
where he is now a Professor. He was ECE Department Chair from 2011
Xuejun Liao
Adjunct Assistant Professor in the Department of Electrical and Computer Engineering
Guillermo Sapiro
James B. Duke Distinguished Professor of Electrical and Computer Engineering
Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department
of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989,
1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became
Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California.
He was with the Department of Electrical and Computer Engineering at the University
of Minnesota, where he held the position of Distinguished McKni
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