TY - GEN
T1 - Adaptive Underwater Video Transmission via Software-Defined MIMO Acoustic Modems
AU - Rahmati, Mehdi
AU - Gurney, Adam
AU - Pompili, Dario
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the US National Science Foundation (NSF) under the CAREER Award No. OCI-1054234. The authors thank Jeffrey Zeszotarski, aquatics coordinator, at Rutgers University for his help and support during field experiments.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/7
Y1 - 2019/1/7
N2 - Video signal transmission enables a wide range of applications in the underwater environment; such as coastal and tactical multimedia surveillance, undersea/offshore exploration, oil pipe/bridge inspection, video monitoring of geologicaWiological processes from the seafloor to the air-sea interface - that all require real-time multimedia acquisition and classification. Yet, it is a challenge to achieve an efficient and reliable video transmission, due to the spectrum limitations underwater and also the error prone nature of the acoustic channel. In this paper, we propose a pairwise scheme to manage the video distortion-rate tradeoff for underwater video transmission. The proposed Multi-input Multi-output (MIMO)-based Software-Defined Acoustic Radio (SDAR) system adapts itself to meet the needs of both video compression and underwater channel in a timely manner from one hand, and keeps the overall video distortion - caused by the coder/decoder and channel - under an acceptable threshold from the other hand. The scalability of Universal Software Radio Peripheral (USRP) with high processing capabilities is exploited in the proposed structure along with the temporal, spatial and quality scalability of Scalable Video Coding (SVC) H.264/MPEG-4 AVC compression standard. Experimental results at Sonny Werblin Recreation Center, Rutgers University, as well as simulations are presented, while more experiments are in-progress to evaluate the performance of our testbed in more challenging environments such as in the Raritan River, New Jersey.
AB - Video signal transmission enables a wide range of applications in the underwater environment; such as coastal and tactical multimedia surveillance, undersea/offshore exploration, oil pipe/bridge inspection, video monitoring of geologicaWiological processes from the seafloor to the air-sea interface - that all require real-time multimedia acquisition and classification. Yet, it is a challenge to achieve an efficient and reliable video transmission, due to the spectrum limitations underwater and also the error prone nature of the acoustic channel. In this paper, we propose a pairwise scheme to manage the video distortion-rate tradeoff for underwater video transmission. The proposed Multi-input Multi-output (MIMO)-based Software-Defined Acoustic Radio (SDAR) system adapts itself to meet the needs of both video compression and underwater channel in a timely manner from one hand, and keeps the overall video distortion - caused by the coder/decoder and channel - under an acceptable threshold from the other hand. The scalability of Universal Software Radio Peripheral (USRP) with high processing capabilities is exploited in the proposed structure along with the temporal, spatial and quality scalability of Scalable Video Coding (SVC) H.264/MPEG-4 AVC compression standard. Experimental results at Sonny Werblin Recreation Center, Rutgers University, as well as simulations are presented, while more experiments are in-progress to evaluate the performance of our testbed in more challenging environments such as in the Raritan River, New Jersey.
KW - Scalable video coding
KW - Software-defined modem
KW - Underwater acoustic communications
KW - Video transmission
UR - http://www.scopus.com/inward/record.url?scp=85061771771&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061771771&partnerID=8YFLogxK
U2 - 10.1109/OCEANS.2018.8604782
DO - 10.1109/OCEANS.2018.8604782
M3 - Conference contribution
AN - SCOPUS:85061771771
T3 - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
BT - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018
Y2 - 22 October 2018 through 25 October 2018
ER -