A Novel Optimization-Based Approach for Content-Based Image Retrieval
Content-based image retrieval is nowadays one of the possible and promising solutions to manage image databases effectively. However, with the large number of images, there still exists a great discrepancy between the users’ expectations (accuracy and efficiency) and the real performance in image re...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/785824 |
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| _version_ | 1832552684408799232 |
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| author | Manyu Xiao Jianghu Lu Gongnan Xie |
| author_facet | Manyu Xiao Jianghu Lu Gongnan Xie |
| author_sort | Manyu Xiao |
| collection | DOAJ |
| description | Content-based image retrieval is nowadays one of the possible and promising solutions to manage image databases effectively. However, with the large number of images, there still exists a great discrepancy between the users’ expectations (accuracy and efficiency) and the real performance in image retrieval. In this work, new optimization strategies are proposed on vocabulary tree building, retrieval, and matching methods. More precisely, a new clustering strategy combining classification and conventional K-Means method is firstly redefined. Then a new matching technique is built to eliminate the error caused by large-scaled scale-invariant feature transform (SIFT). Additionally, a new unit mechanism is proposed to reduce the cost of indexing time. Finally, the numerical results show that excellent performances are obtained in both accuracy and efficiency based on the proposed improvements for image retrieval. |
| format | Article |
| id | doaj-art-0abac986de4949b99c3a81f43568dae1 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-0abac986de4949b99c3a81f43568dae12025-02-03T05:58:05ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/785824785824A Novel Optimization-Based Approach for Content-Based Image RetrievalManyu Xiao0Jianghu Lu1Gongnan Xie2Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaEngineering Simulation and Aerospace Computing (ESAC), Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaContent-based image retrieval is nowadays one of the possible and promising solutions to manage image databases effectively. However, with the large number of images, there still exists a great discrepancy between the users’ expectations (accuracy and efficiency) and the real performance in image retrieval. In this work, new optimization strategies are proposed on vocabulary tree building, retrieval, and matching methods. More precisely, a new clustering strategy combining classification and conventional K-Means method is firstly redefined. Then a new matching technique is built to eliminate the error caused by large-scaled scale-invariant feature transform (SIFT). Additionally, a new unit mechanism is proposed to reduce the cost of indexing time. Finally, the numerical results show that excellent performances are obtained in both accuracy and efficiency based on the proposed improvements for image retrieval.http://dx.doi.org/10.1155/2013/785824 |
| spellingShingle | Manyu Xiao Jianghu Lu Gongnan Xie A Novel Optimization-Based Approach for Content-Based Image Retrieval Journal of Applied Mathematics |
| title | A Novel Optimization-Based Approach for Content-Based Image Retrieval |
| title_full | A Novel Optimization-Based Approach for Content-Based Image Retrieval |
| title_fullStr | A Novel Optimization-Based Approach for Content-Based Image Retrieval |
| title_full_unstemmed | A Novel Optimization-Based Approach for Content-Based Image Retrieval |
| title_short | A Novel Optimization-Based Approach for Content-Based Image Retrieval |
| title_sort | novel optimization based approach for content based image retrieval |
| url | http://dx.doi.org/10.1155/2013/785824 |
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