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
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09
PY - 2013/12/1
Y1 - 2013/12/1
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. © 2013 IEEE.
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. © 2013 IEEE.
UR - http://ieeexplore.ieee.org/document/6738004/
UR - http://www.scopus.com/inward/record.url?scp=84897675973&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2013.6738004
DO - 10.1109/ICIP.2013.6738004
M3 - Conference contribution
SN - 9781479923410
SP - 14
EP - 18
BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
ER -