Adaptive temporal compressive sensing for video

Xin Yuan; Jianbo Yang; Patrick Llull; Xuejun Liao; Guillermo Sapiro; David J. Brady; Lawrence Carin

doi:10.1109/ICIP.2013.6738004

Adaptive temporal compressive sensing for video

Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

45 Scopus citations

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.

Original language	English (US)
Title of host publication	2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Publisher	IEEE Computer Society
Pages	14-18
Number of pages	5
ISBN (Print)	9781479923410
DOIs	https://doi.org/10.1109/ICIP.2013.6738004
State	Published - 2013
Externally published	Yes
Event	2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia Duration: Sep 15 2013 → Sep 18 2013

Publication series

Name	2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other	2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	9/15/13 → 9/18/13

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition

Keywords

adaptive temporal compressive sensing
real-time implementation
temporal compressive sensing ratio design
temporal superresolution
Video compressive sensing

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10.1109/ICIP.2013.6738004

Cite this

Yuan, X., Yang, J., Llull, P., Liao, X., Sapiro, G., Brady, D. J., & Carin, L. (2013). Adaptive temporal compressive sensing for video. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 14-18). Article 6738004 (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/ICIP.2013.6738004

@inproceedings{aa0ba99497a549fab8b16a077243211c,

title = "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.",

keywords = "adaptive temporal compressive sensing, real-time implementation, temporal compressive sensing ratio design, temporal superresolution, Video compressive sensing",

author = "Xin Yuan and Jianbo Yang and Patrick Llull and Xuejun Liao and Guillermo Sapiro and Brady, {David J.} and Lawrence Carin",

year = "2013",

doi = "10.1109/ICIP.2013.6738004",

language = "English (US)",

isbn = "9781479923410",

series = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",

publisher = "IEEE Computer Society",

pages = "14--18",

booktitle = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",

address = "United States",

note = "2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference date: 15-09-2013 Through 18-09-2013",

}

Yuan, X, Yang, J, Llull, P, Liao, X, Sapiro, G, Brady, DJ & Carin, L 2013, Adaptive temporal compressive sensing for video. in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings., 6738004, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, IEEE Computer Society, pp. 14-18, 2013 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne, VIC, Australia, 9/15/13. https://doi.org/10.1109/ICIP.2013.6738004

Adaptive temporal compressive sensing for video. / Yuan, Xin; Yang, Jianbo; Llull, Patrick et al.
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. IEEE Computer Society, 2013. p. 14-18 6738004 (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Adaptive temporal compressive sensing for video

AU - Yuan, Xin

AU - Yang, Jianbo

AU - Llull, Patrick

AU - Liao, Xuejun

AU - Sapiro, Guillermo

AU - Brady, David J.

AU - Carin, Lawrence

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - adaptive temporal compressive sensing

KW - real-time implementation

KW - temporal compressive sensing ratio design

KW - temporal superresolution

KW - Video compressive sensing

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DO - 10.1109/ICIP.2013.6738004

M3 - Conference contribution

AN - SCOPUS:84897675973

SN - 9781479923410

T3 - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

SP - 14

EP - 18

BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

PB - IEEE Computer Society

T2 - 2013 20th IEEE International Conference on Image Processing, ICIP 2013

Y2 - 15 September 2013 through 18 September 2013

ER -

Adaptive temporal compressive sensing for video

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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