Learning Query-Dependent Distance Metrics for Interactive Image Retrieval

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.

• Type: Conference
• Year: 2009
• Where: ICVS
• Authors: Junwei Han, Stephen J. McKenna, Ruixuan Wang
• Keywords: Computer Vision, ICVS 2009, On-line Rank-based Learning, Retrieval Process, Target-based Image Retrieval