Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

17

ICVS
2009
Springer

favoriteEmaildiscussreport

240views Computer Vision» more ICVS 2009»

Learning Query-Dependent Distance Metrics for Interactive Image Retrieval

13 years 11 months ago

Learning Query-Dependent Distance Metrics for Interactive Image Retrieval

Download www.computing.dundee.ac.uk

An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative constraints that are used to adapt distance metrics for retrieval. The user can change the query during a search session in order to speed up the retrieval process. An empirical comparison of online learning methods including rankingSVM is reported using both simulated and real users.

Junwei Han, Stephen J. McKenna, Ruixuan Wang

Real-time Traffic

Computer Vision | ICVS 2009 | On-line Rank-based Learning | Retrieval Process | Target-based Image Retrieval |

claim paper

Related Content

» Randomly Projected KDTrees with Distance Metric Learning for Image Retrieval

» Rankbased distance metric learning An application to image retrieval

» Kernelbased distance metric learning for contentbased image retrieval

» Output Regularized Metric Learning with Side Information

» Learning Distance Metrics with Contextual Constraints for Image Retrieval

» Semisupervised distance metric learning for Collaborative Image Retrieval

» Semisupervised distance metric learning for collaborative image retrieval and clustering

» Distance metric learning from uncertain side information with application to automated pho...

» Condensing Image Databases when Retrieval is Based on NonMetric Distances

Post Info
More Details (n/a)

Added	26 May 2010
Updated	26 May 2010
Type	Conference
Year	2009
Where	ICVS
Authors	Junwei Han, Stephen J. McKenna, Ruixuan Wang

Comments (0)