TY - GEN
T1 - Boosting web image search by co-ranking
AU - He, Jingrui
AU - Zhang, Changshui
AU - Zhao, Nanyuan
AU - Tong, Hanghang
PY - 2005
Y1 - 2005
N2 - To maximally improve the precision among top-ranked images returned by a web image search engine without putting extra burden on the user, we propose in this paper a novel co-ranking framework which will re-rank the retrieved images to move the irrelevant ones to the tail of the list. The characteristic of the proposed framework can be summarized as follows: (1) making use of the decisions from multi-view of images to boost retrieval performance; (2) generalizing present multi-view algorithms which need labeled data for initialization to the unsupervised case so that no extra interaction is required. To implement the framework, we use one-class support vector machines to train the basic learner, and propose different schemes for combination. Experimental results demonstrate the effectiveness of the proposed framework.
AB - To maximally improve the precision among top-ranked images returned by a web image search engine without putting extra burden on the user, we propose in this paper a novel co-ranking framework which will re-rank the retrieved images to move the irrelevant ones to the tail of the list. The characteristic of the proposed framework can be summarized as follows: (1) making use of the decisions from multi-view of images to boost retrieval performance; (2) generalizing present multi-view algorithms which need labeled data for initialization to the unsupervised case so that no extra interaction is required. To implement the framework, we use one-class support vector machines to train the basic learner, and propose different schemes for combination. Experimental results demonstrate the effectiveness of the proposed framework.
UR - http://www.scopus.com/inward/record.url?scp=33646804891&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33646804891&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2005.1415428
DO - 10.1109/ICASSP.2005.1415428
M3 - Conference contribution
AN - SCOPUS:33646804891
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - II409-II412
BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -