Modeling multiple visual words assignment for bag-of-features based medical image retrieval
dc.contributor.author | Wang, Jim Jing-Yan | |
dc.contributor.author | Almasri, Islam | |
dc.date.accessioned | 2015-08-04T07:02:09Z | |
dc.date.available | 2015-08-04T07:02:09Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Wang, J., & Almasri, I. (2012). Modeling Multiple Visual Words Assignment for Bag-of-Features based Medical Image Retrieval. Signal Processing, Pattern Recognition and Applications / 779: Computer Graphics and Imaging. doi:10.2316/p.2012.779-015 | |
dc.identifier.isbn | 9780889869219 | |
dc.identifier.doi | 10.2316/P.2012.779-015 | |
dc.identifier.uri | http://hdl.handle.net/10754/564483 | |
dc.description.abstract | In this paper, we investigate the bag-of-features based medical image retrieval methods, which represent an image as a collection of local features, such as image patch and key points with SIFT descriptor. To improve the bag-of-features method, we first model the assignment of local descriptor as contribution functions, and then propose a new multiple assignment strategy. By assuming the local feature can be reconstructed by its neighboring visual words in vocabulary, we solve the reconstruction weights as a QP problem and then use the solved weights as contribution functions, which results in a new assignment method called the QP assignment. We carry our experiments on ImageCLEFmed datasets. Experiments' results show that our proposed method exceeds the performances of traditional solutions and works well for the bag-of-features based medical image retrieval tasks. | |
dc.publisher | ACTA Press | |
dc.subject | Bag-of-features | |
dc.subject | Medical image retrieval | |
dc.subject | Multiple assignment | |
dc.subject | Quadratic programming | |
dc.title | Modeling multiple visual words assignment for bag-of-features based medical image retrieval | |
dc.type | Conference Paper | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Computer Science Program | |
dc.contributor.department | Computational Bioscience Research Center (CBRC) | |
dc.identifier.journal | Signal Processing, Pattern Recognition and Applications / 779: Computer Graphics and Imaging | |
dc.conference.date | 18 June 2012 through 20 June 2012 | |
dc.conference.name | IASTED International Conference on Computer Graphics and Imaging, CGIM 2012 | |
dc.conference.location | Crete | |
kaust.person | Wang, Jim Jing-Yan | |
kaust.person | Almasri, Islam |
This item appears in the following Collection(s)
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Conference Papers
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Computer Science Program
For more information visit: https://cemse.kaust.edu.sa/cs -
Computational Bioscience Research Center (CBRC)
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Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
For more information visit: https://cemse.kaust.edu.sa/