TY - GEN
T1 - Data driven adaptation for QoS aware embedded vision systems
AU - Lee, Chris S.
AU - Irick, Kevin M.
AU - Sampson, John
AU - Narayanan, Vijaykrishnan
PY - 2014/2/5
Y1 - 2014/2/5
N2 - We present a data driven method for high efficiency in a neuro-inspired vision pipeline. Our goal is to reduce low-utility computation arising from duplicated processing. In this paper, we examine two forms of redundant information in image data, spatiotemporal redundancy and channel redundancy. To maximize efficiency, the paper presents a dynamic, configurable approach that limits the computational cost of hardware by reusing previous results and sharing data paths. Our technique reduces redundant computation from both spatiotemporal and channel redundancy.
AB - We present a data driven method for high efficiency in a neuro-inspired vision pipeline. Our goal is to reduce low-utility computation arising from duplicated processing. In this paper, we examine two forms of redundant information in image data, spatiotemporal redundancy and channel redundancy. To maximize efficiency, the paper presents a dynamic, configurable approach that limits the computational cost of hardware by reusing previous results and sharing data paths. Our technique reduces redundant computation from both spatiotemporal and channel redundancy.
UR - http://www.scopus.com/inward/record.url?scp=84949927445&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949927445&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2014.7032080
DO - 10.1109/GlobalSIP.2014.7032080
M3 - Conference contribution
AN - SCOPUS:84949927445
T3 - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
SP - 69
EP - 72
BT - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
Y2 - 3 December 2014 through 5 December 2014
ER -