DocumentCode
2862723
Title
Modeling annotators to improve semantic annotation and retrieval of images
Author
Lee, Chen-Yu ; Soo, Von-Wun
Author_Institution
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear
2005
fDate
19-22 Sept. 2005
Firstpage
254
Lastpage
257
Abstract
Semantic annotation of images is an important step to support semantic information extraction and retrieval. However, since the behaviors of annotators could influence the performance of a retrieval system, the modeling of annotators must be considered during the annotation especially in multiple-annotator system. This paper devised an annotator model from three different aspects, expertise, trustworthiness, and diligence. And also conducted experiments to evaluate the annotator model; the experiments showed the proposed annotator model improved the annotation and retrieval significantly.
Keywords
image retrieval; information retrieval systems; ontologies (artificial intelligence); semantic Web; user modelling; annotator modeling; image retrieval; information retrieval system; multiple-annotator system; semantic annotation; semantic information extraction; Computer science; Data mining; Humans; Image retrieval; Information retrieval; Intelligent agent; OWL; Ontologies; Semantic Web; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN
0-7695-2416-8
Type
conf
DOI
10.1109/IAT.2005.101
Filename
1565547
Link To Document