TY - GEN
T1 - Automatic knowledge construction of scene composition using object categorization on images
AU - Kikuchi, Go
AU - Kasai, Hiroyuki
PY - 2012
Y1 - 2012
N2 - This paper proposes a method to construct the scene composition of an event, a place and a situation by learning appearance pattern of objects in them. We recognize objects inside an image, and extract representative patterns based by analyzing the appearance combination of object in a large amount of images. Preliminary experiment shows that the proposal can create knowledge of scene composition with no contradiction and gives unfamiliar insights for the scene 1.
AB - This paper proposes a method to construct the scene composition of an event, a place and a situation by learning appearance pattern of objects in them. We recognize objects inside an image, and extract representative patterns based by analyzing the appearance combination of object in a large amount of images. Preliminary experiment shows that the proposal can create knowledge of scene composition with no contradiction and gives unfamiliar insights for the scene 1.
UR - http://www.scopus.com/inward/record.url?scp=84858854276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858854276&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2012.6161781
DO - 10.1109/ICCE.2012.6161781
M3 - Conference contribution
AN - SCOPUS:84858854276
SN - 9781457702310
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 145
EP - 146
BT - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012
T2 - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Y2 - 13 January 2012 through 16 January 2012
ER -