TY - GEN
T1 - Image retrieval and relevance feedback using peer indexing
AU - Yang, Jun
AU - Li, Qing
AU - Zhuang, Yueting
PY - 2002/1/1
Y1 - 2002/1/1
N2 - We present the idea of peer indexing - indexing an image by semantically correlated images - and its application in image retrieval. A learning strategy is suggested for automatic acquisition of peer indices from user feedback, and the similarity metric for the peer index is formulated. A cooperative framework is proposed under which the peer index is integrated with low-level features for image retrieval and relevance feedback. Encouraging results on both short-term and long-term retrieval performance of our approach are shown by experiments.
AB - We present the idea of peer indexing - indexing an image by semantically correlated images - and its application in image retrieval. A learning strategy is suggested for automatic acquisition of peer indices from user feedback, and the similarity metric for the peer index is formulated. A cooperative framework is proposed under which the peer index is integrated with low-level features for image retrieval and relevance feedback. Encouraging results on both short-term and long-term retrieval performance of our approach are shown by experiments.
UR - http://www.scopus.com/inward/record.url?scp=84908203156&partnerID=8YFLogxK
U2 - 10.1109/ICME.2002.1035624
DO - 10.1109/ICME.2002.1035624
M3 - Conference article published in proceeding or book
AN - SCOPUS:84908203156
T3 - Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
SP - 409
EP - 412
BT - Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Y2 - 26 August 2002 through 29 August 2002
ER -