TY - GEN
T1 - Image annotation by hierarchical mapping of features
AU - Zhao, Qiankun
AU - Mitra, Prasenjit
AU - Giles, C. Lee
PY - 2007
Y1 - 2007
N2 - In this paper, we propose a novel approach of image annotation byconstructing a hierarchical mapping between low-level visualfeatures and text features utilizing the relations within and acrossboth visual features and text features. Moreover, we propose a novelannotation strategy that maximizes both the accuracy and thediversity of the generated annotation by generalizing or specifyingthe annotation in the corresponding annotation hierarchy.Experiments with 4500 scientific images from Royal Society ofChemistry journals show that the proposed annotation approachproduces satisfactory results at different levels of annotations.
AB - In this paper, we propose a novel approach of image annotation byconstructing a hierarchical mapping between low-level visualfeatures and text features utilizing the relations within and acrossboth visual features and text features. Moreover, we propose a novelannotation strategy that maximizes both the accuracy and thediversity of the generated annotation by generalizing or specifyingthe annotation in the corresponding annotation hierarchy.Experiments with 4500 scientific images from Royal Society ofChemistry journals show that the proposed annotation approachproduces satisfactory results at different levels of annotations.
UR - http://www.scopus.com/inward/record.url?scp=35348870046&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35348870046&partnerID=8YFLogxK
U2 - 10.1145/1242572.1242784
DO - 10.1145/1242572.1242784
M3 - Conference contribution
AN - SCOPUS:35348870046
SN - 1595936548
SN - 9781595936547
T3 - 16th International World Wide Web Conference, WWW2007
SP - 1237
EP - 1238
BT - 16th International World Wide Web Conference, WWW2007
T2 - 16th International World Wide Web Conference, WWW2007
Y2 - 8 May 2007 through 12 May 2007
ER -