TY - GEN
T1 - A task-oriented vision system
AU - Xiao, Yang
AU - Irick, Kevin
AU - Sampson, Jack
AU - Narayanan, Vijaykrishnan
AU - Zhang, Chuanjun
PY - 2014
Y1 - 2014
N2 - Recently, biologically inspired vision systems have been the focus of intense research effort to emulate the high energy-efficiency, performance and robustness of mammalian vision systems. However, previous vision accelerators have only focused on speeding up computationally intense portions of the system without exploiting effects seen in the human brain that demonstrate the task influence in the vision mechanism. In this paper, we propose a task-oriented two-level vision system which is composed of Saliency and SURF. To the best of our knowledge, our design is the first embedded system that utilizes task influence in the computation of visual attention and recognition. As a result, we show that the new system can achieve at most 12.75% accuracy improvement while saving 25% computation work.
AB - Recently, biologically inspired vision systems have been the focus of intense research effort to emulate the high energy-efficiency, performance and robustness of mammalian vision systems. However, previous vision accelerators have only focused on speeding up computationally intense portions of the system without exploiting effects seen in the human brain that demonstrate the task influence in the vision mechanism. In this paper, we propose a task-oriented two-level vision system which is composed of Saliency and SURF. To the best of our knowledge, our design is the first embedded system that utilizes task influence in the computation of visual attention and recognition. As a result, we show that the new system can achieve at most 12.75% accuracy improvement while saving 25% computation work.
UR - http://www.scopus.com/inward/record.url?scp=84902588314&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902588314&partnerID=8YFLogxK
U2 - 10.1145/2591513.2591602
DO - 10.1145/2591513.2591602
M3 - Conference contribution
AN - SCOPUS:84902588314
SN - 9781450328166
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 181
EP - 186
BT - GLSVLSI 2014 - Proceedings of the 2014 Great Lakes Symposium on VLSI
PB - Association for Computing Machinery
T2 - 24th Great Lakes Symposium on VLSI, GLSVLSI 2014
Y2 - 21 May 2014 through 23 May 2014
ER -