TY - GEN
T1 - Integrating unlabeled images for image retrieval based on relevance feedback
AU - Wu, Ying
AU - Tian, Qi
AU - Huang, Thomas S.
N1 - Funding Information:
This work was supported in part by National Science Foundation Grants CDA-96-24396, IRI-96-34618 and EIA-99-75019.
Publisher Copyright:
© 2000 IEEE.
PY - 2000
Y1 - 2000
N2 - Retrieval techniques based on pure similarity metrics are often suffered from the scales of image features. An alternative approach is to learn a mapping based on queries and relevance feedback by supervised learning. However, the learning is plagued by the insufficiency of labeled training images. Different from most current research in image retrieval, this paper investigates the possibility of taking advantage of unlabeled images in the given image database to make a hybrid statistical learning feasible. Assuming a generative model of the database, the proposed approach casts image retrieval as a transductive learning problem in a probabilistic framework. Our experiments show that the proposed approach has a satisfactory performance in image retrieval applications.
AB - Retrieval techniques based on pure similarity metrics are often suffered from the scales of image features. An alternative approach is to learn a mapping based on queries and relevance feedback by supervised learning. However, the learning is plagued by the insufficiency of labeled training images. Different from most current research in image retrieval, this paper investigates the possibility of taking advantage of unlabeled images in the given image database to make a hybrid statistical learning feasible. Assuming a generative model of the database, the proposed approach casts image retrieval as a transductive learning problem in a probabilistic framework. Our experiments show that the proposed approach has a satisfactory performance in image retrieval applications.
UR - http://www.scopus.com/inward/record.url?scp=25144517932&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=25144517932&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2000.905268
DO - 10.1109/ICPR.2000.905268
M3 - Conference contribution
AN - SCOPUS:25144517932
T3 - Proceedings - International Conference on Pattern Recognition
SP - 21
EP - 24
BT - Proceedings - 15th International Conference on Pattern Recognition, ICPR 2000 - Volume 1
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Pattern Recognition, ICPR 2000
Y2 - 3 September 2000 through 7 September 2000
ER -