Title :
Segmentation coding for object-based attentive selection systems
Author :
Wilson, Charles S. ; Morris, Tonia G. ; DeWeerth, Stephen P.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper we present an analysis of a segmentation coding algorithm used in object-based visual attentive selection systems. This coding algorithm segments images into objects, and assigns a segmentation code to each object. The objects then compete for attention in the selection process. Thus, these systems use a biologically-inspired technique to balance the need for high-speed processing and the abundance of input image data. We have implemented these systems in 2.0 μm and 1.2 μm CMOS processes
Keywords :
algorithm theory; filtering theory; image coding; image segmentation; 1.2 micron; 2 micron; CMOS processes; biologically-inspired technique; high-speed processing; input image data; object-based attentive selection systems; prefiltering; saliency coding; segmentation coding algorithm; visual attentive selection; Biological information theory; Biological systems; Biology computing; CMOS process; Filters; Hysteresis; Image coding; Image segmentation; Real time systems; Visual system;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.703986
