TY - GEN
T1 - Modeling annotators to improve semantic annotation and retrieval of images
AU - Lee, Chen Yu
AU - Soo, Von Wun
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/33846284920
U2 - 10.1109/IAT.2005.101
DO - 10.1109/IAT.2005.101
M3 - 会议稿件
AN - SCOPUS:33846284920
SN - 0769524168
SN - 9780769524160
T3 - Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
SP - 254
EP - 257
BT - Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
T2 - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Y2 - 19 September 2005 through 22 September 2005
ER -