Adaptive learning region importance for region‐based image retrieval
This study addresses the issue of region representation in region‐based image retrieval (RBIR). In order to reduce the user's burden of selecting the region of interest, a statistical index called visual region importance (RI) is constructed to describe the region. By learning from user's...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-06-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2014.0119 |
| _version_ | 1827817488736321536 |
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| author | Xiaohui Yang Feiya Lv Lijun Cai Dengfeng Li |
| author_facet | Xiaohui Yang Feiya Lv Lijun Cai Dengfeng Li |
| author_sort | Xiaohui Yang |
| collection | DOAJ |
| description | This study addresses the issue of region representation in region‐based image retrieval (RBIR). In order to reduce the user's burden of selecting the region of interest, a statistical index called visual region importance (RI) is constructed to describe the region. By learning from user's current and historical feedback information, visual RI can be automatically updated and semantic RI can be obtained. Furthermore, adaptive learning RI and memory learning RI (MLRI) techniques for RBIR system have been presented. Specifically, the MLRI can mitigate the negative influence of interference regions well. Extensive experiments on the Corel‐1000 dataset and the Caltech‐256 dataset demonstrate that the proposed frameworks are effective, are robust and achieve significantly better performance than the other existing methods. |
| first_indexed | 2024-03-12T00:34:55Z |
| format | Article |
| id | doaj.art-2d04130b4fa74d3f830d8d737f1b8b8b |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:34:55Z |
| publishDate | 2015-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-2d04130b4fa74d3f830d8d737f1b8b8b2023-09-15T09:37:49ZengWileyIET Computer Vision1751-96321751-96402015-06-019336837710.1049/iet-cvi.2014.0119Adaptive learning region importance for region‐based image retrievalXiaohui Yang0Feiya Lv1Lijun Cai2Dengfeng Li3School of Mathematics and Information SciencesInstitute of Applied MathematicsHenan UniversityKaifeng475000HenanPeople's Republic of ChinaSchool of Mathematics and Information SciencesInstitute of Applied MathematicsHenan UniversityKaifeng475000HenanPeople's Republic of ChinaSchool of Mathematics and Information SciencesInstitute of Applied MathematicsHenan UniversityKaifeng475000HenanPeople's Republic of ChinaSchool of Mathematics and Information SciencesInstitute of Applied MathematicsHenan UniversityKaifeng475000HenanPeople's Republic of ChinaThis study addresses the issue of region representation in region‐based image retrieval (RBIR). In order to reduce the user's burden of selecting the region of interest, a statistical index called visual region importance (RI) is constructed to describe the region. By learning from user's current and historical feedback information, visual RI can be automatically updated and semantic RI can be obtained. Furthermore, adaptive learning RI and memory learning RI (MLRI) techniques for RBIR system have been presented. Specifically, the MLRI can mitigate the negative influence of interference regions well. Extensive experiments on the Corel‐1000 dataset and the Caltech‐256 dataset demonstrate that the proposed frameworks are effective, are robust and achieve significantly better performance than the other existing methods.https://doi.org/10.1049/iet-cvi.2014.0119adaptive learning region importanceregion-based image retrievalregion representation issuestatistical indexvisual region importancefeedback information |
| spellingShingle | Xiaohui Yang Feiya Lv Lijun Cai Dengfeng Li Adaptive learning region importance for region‐based image retrieval IET Computer Vision adaptive learning region importance region-based image retrieval region representation issue statistical index visual region importance feedback information |
| title | Adaptive learning region importance for region‐based image retrieval |
| title_full | Adaptive learning region importance for region‐based image retrieval |
| title_fullStr | Adaptive learning region importance for region‐based image retrieval |
| title_full_unstemmed | Adaptive learning region importance for region‐based image retrieval |
| title_short | Adaptive learning region importance for region‐based image retrieval |
| title_sort | adaptive learning region importance for region based image retrieval |
| topic | adaptive learning region importance region-based image retrieval region representation issue statistical index visual region importance feedback information |
| url | https://doi.org/10.1049/iet-cvi.2014.0119 |
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