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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Papushoy, A. Bors, A.G. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of York, York, UK (Papushoy, A.; Bors, A.G.) |
| Abstract | A new image retrieval method, based on human visual attention models, called query by saliency content retrieval (QSCR) is presented in this paper. Each image is segmented and a set of characteristic features is evaluated for each region. The saliency for each image region, as it would be perceived by a human observer, is estimated for each region and then used for image retrieval. Images displaying similar features and characterized by similar saliency are then retrieved from the database. Both local and global saliency are considered in the retrieval process. The proposed method ranks the similarity between the query and the a set of given images using the Earth Mover Distance algorithm. |
| Starting Page | 971 |
| Ending Page | 975 |
| File Size | 1099937 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479983391 |
| DOI | 10.1109/ICIP.2015.7350944 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Image color analysis Visualization Image segmentation Feature extraction Image retrieval salient edges Content based image retrieval human visual attention model saliency |
| Content Type | Text |
| Resource Type | Article |
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