Adaptive region matching for region‐based image retrieval by constructing region importance index
This study deals with the problem of similarity matching in region‐based image retrieval (RBIR). A novel visual similarity measurement called adaptive region matching (ARM) has been developed. For decreasing negative influence of interference regions and important information loss simultaneously, a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-04-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2012.0157 |
| _version_ | 1797685238768336896 |
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| author | Xiaohui Yang Lijun Cai |
| author_facet | Xiaohui Yang Lijun Cai |
| author_sort | Xiaohui Yang |
| collection | DOAJ |
| description | This study deals with the problem of similarity matching in region‐based image retrieval (RBIR). A novel visual similarity measurement called adaptive region matching (ARM) has been developed. For decreasing negative influence of interference regions and important information loss simultaneously, a region importance index is constructed and semantic meaningful region (SMR) is introduced. Moreover, ARM automatically performs SMR‐to‐image matching or image‐to‐image matching. Extensive experiments on Corel‐1000, Caltech‐256 and University of Washington (UW) databases demonstrate the authors proposed ARM is more flexible and more efficient than the existing visual similarity measurements that were originally developed for RBIR. |
| first_indexed | 2024-03-12T00:41:17Z |
| format | Article |
| id | doaj.art-78fd675f2cb64a3bb8e1100e2769d432 |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:41:17Z |
| publishDate | 2014-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-78fd675f2cb64a3bb8e1100e2769d4322023-09-15T07:13:10ZengWileyIET Computer Vision1751-96321751-96402014-04-018214115110.1049/iet-cvi.2012.0157Adaptive region matching for region‐based image retrieval by constructing region importance indexXiaohui Yang0Lijun Cai1Department of Information and Computer ScienceInstitute of Applied MathematicsSchool of Mathematics and Information SciencesHenan UniversityKaifeng475004People's Republic of ChinaDepartment of Information and Computer ScienceInstitute of Applied MathematicsSchool of Mathematics and Information SciencesHenan UniversityKaifeng475004People's Republic of ChinaThis study deals with the problem of similarity matching in region‐based image retrieval (RBIR). A novel visual similarity measurement called adaptive region matching (ARM) has been developed. For decreasing negative influence of interference regions and important information loss simultaneously, a region importance index is constructed and semantic meaningful region (SMR) is introduced. Moreover, ARM automatically performs SMR‐to‐image matching or image‐to‐image matching. Extensive experiments on Corel‐1000, Caltech‐256 and University of Washington (UW) databases demonstrate the authors proposed ARM is more flexible and more efficient than the existing visual similarity measurements that were originally developed for RBIR.https://doi.org/10.1049/iet-cvi.2012.0157Corel-1000 databaseUW databaseCaltech-256 databaseimage-to-image matchingSMR-to-image matchingsemantic meaningful region |
| spellingShingle | Xiaohui Yang Lijun Cai Adaptive region matching for region‐based image retrieval by constructing region importance index IET Computer Vision Corel-1000 database UW database Caltech-256 database image-to-image matching SMR-to-image matching semantic meaningful region |
| title | Adaptive region matching for region‐based image retrieval by constructing region importance index |
| title_full | Adaptive region matching for region‐based image retrieval by constructing region importance index |
| title_fullStr | Adaptive region matching for region‐based image retrieval by constructing region importance index |
| title_full_unstemmed | Adaptive region matching for region‐based image retrieval by constructing region importance index |
| title_short | Adaptive region matching for region‐based image retrieval by constructing region importance index |
| title_sort | adaptive region matching for region based image retrieval by constructing region importance index |
| topic | Corel-1000 database UW database Caltech-256 database image-to-image matching SMR-to-image matching semantic meaningful region |
| url | https://doi.org/10.1049/iet-cvi.2012.0157 |
| work_keys_str_mv | AT xiaohuiyang adaptiveregionmatchingforregionbasedimageretrievalbyconstructingregionimportanceindex AT lijuncai adaptiveregionmatchingforregionbasedimageretrievalbyconstructingregionimportanceindex |