Adaptive temporal compressive sensing for video

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2013-12-01

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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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10.1109/ICIP.2013.6738004

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Yuan, X, J Yang, P Llull, X Liao, G Sapiro, DJ Brady and L Carin (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.

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