TY - GEN
T1 - System-Aware Compression
AU - Dar, Yehuda
AU - Elad, Michael
AU - Bruckstein, Alfred M.
N1 - Funding Information:
ACKNOWLEDGMENT This research was supported in part by the European Research Council under European Unions Seventh Framework Program, ERC Grant agreement no. 320649, and by the Israel Science Foundation grant no. 2597/16.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - Many information systems employ lossy compression as a crucial intermediate stage among other processing components. While the important distortion is defined by the system's input and output signals, the compression usually ignores the system structure, therefore, leading to an overall suboptimal rate-distortion performance. In this paper we propose a compression methodology for an operational rate-distortion optimization considering a known system layout, modeled using linear operators and noise. Using the alternating direction method of multipliers (ADMM) technique, we show that the design of the new globally-optimized compression reduces to a standard compression of a 'system adjusted' signal. Essentially, the proposed framework leverages standard compression techniques to address practical settings of the remote source coding problem. We further explain the main ideas of our method by theoretically studying the case of a cyclo-stationary Gaussian signal. We present experimental results for coding of one-dimensional signals and for video compression using the HEVC standard, showing significant gains by the adjustment to an acquisition-rendering system.
AB - Many information systems employ lossy compression as a crucial intermediate stage among other processing components. While the important distortion is defined by the system's input and output signals, the compression usually ignores the system structure, therefore, leading to an overall suboptimal rate-distortion performance. In this paper we propose a compression methodology for an operational rate-distortion optimization considering a known system layout, modeled using linear operators and noise. Using the alternating direction method of multipliers (ADMM) technique, we show that the design of the new globally-optimized compression reduces to a standard compression of a 'system adjusted' signal. Essentially, the proposed framework leverages standard compression techniques to address practical settings of the remote source coding problem. We further explain the main ideas of our method by theoretically studying the case of a cyclo-stationary Gaussian signal. We present experimental results for coding of one-dimensional signals and for video compression using the HEVC standard, showing significant gains by the adjustment to an acquisition-rendering system.
UR - http://www.scopus.com/inward/record.url?scp=85052466693&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2018.8437643
DO - 10.1109/ISIT.2018.8437643
M3 - Conference contribution
AN - SCOPUS:85052466693
SN - 9781538647806
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2226
EP - 2230
BT - 2018 IEEE International Symposium on Information Theory, ISIT 2018
PB - Institute of Electrical and Electronics Engineers
T2 - 2018 IEEE International Symposium on Information Theory, ISIT 2018
Y2 - 17 June 2018 through 22 June 2018
ER -