Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICIP.2009.5413585
DC Field | Value | |
---|---|---|
dc.title | Mean shift feature space warping for relevance feedback | |
dc.contributor.author | Chang Y.-J. | |
dc.contributor.author | Kamataki K. | |
dc.contributor.author | Chen T. | |
dc.date.accessioned | 2018-08-21T05:03:43Z | |
dc.date.available | 2018-08-21T05:03:43Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Chang Y.-J., Kamataki K., Chen T. (2009). Mean shift feature space warping for relevance feedback. Proceedings - International Conference on Image Processing, ICIP : 1849-1852. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2009.5413585 | |
dc.identifier.isbn | 9781424456543 | |
dc.identifier.issn | 15224880 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/146215 | |
dc.description.abstract | Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental relevance feedback approaches, feature space warping has been proposed as an effective approach for bridging the gap between high-level semantics and the low-level features. By examining the fundamental behavior of the feature space warping, we propose a new approach to harness its strength and resolve its weakness under various data distributions. Experiments on both synthetic data and real data reveal significant improvement from the proposed method. | |
dc.publisher | IEEE Computer Society | |
dc.source | Scopus | |
dc.subject | Content-based information retrieval | |
dc.subject | Feature space warping | |
dc.subject | Relevance feedback | |
dc.type | Conference Paper | |
dc.contributor.department | OFFICE OF THE PROVOST | |
dc.contributor.department | DEPARTMENT OF COMPUTER SCIENCE | |
dc.description.doi | 10.1109/ICIP.2009.5413585 | |
dc.description.sourcetitle | Proceedings - International Conference on Image Processing, ICIP | |
dc.description.page | 1849-1852 | |
dc.published.state | published | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.