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
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;
Conference_Titel :
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2416-8
DOI :
10.1109/IAT.2005.101