Adaptive temporal compressive sensing for video
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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.
Published Version (Please cite this version)10.1109/ICIP.2013.6738004
Publication InfoBrady, David J; Carin, Lawrence; Liao, X; Llull, P; Sapiro, Guillermo; Yang, J; & Yuan, X (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 http://hdl.handle.net/10161/8941.
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Michael J. Fitzpatrick Professor of Photonics in the Edmund T. Pratt, Jr. School of Engineering
David Brady leads the Duke Imaging and Spectroscopy Program (DISP) and the Computer Lab at Duke Kunshan University. These laboratories focus on computational imaging systems, with particular emphasis on smart cameras for security, consumer, transportation and broadcast applications.
James L. Meriam 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 Engineering Department at Duke University, where he is now a Professor, and Vice Provost for Research. From 2003-2014 he held th
Adjunct Assistant Professor in the Department of Electrical and Computer Engineering
James B. Duke 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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