Image indexing method based on clustering via Info-Kmeans under pair constraints
Constructing high-quality content-based image indexing is fairly difficult due to the large amount of noise in the data set and the high-dimension and the sparseness of the image data.To meet this challenge,a novel noise-filtering and clustering was proposed using Info-Kmeans based image indexing co...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.07.018/ |
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| _version_ | 1841539787148754944 |
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| author | Wen-jie LIU Zhi-ang WU Jie CAO Jin-gui PAN |
| author_facet | Wen-jie LIU Zhi-ang WU Jie CAO Jin-gui PAN |
| author_sort | Wen-jie LIU |
| collection | DOAJ |
| description | Constructing high-quality content-based image indexing is fairly difficult due to the large amount of noise in the data set and the high-dimension and the sparseness of the image data.To meet this challenge,a novel noise-filtering and clustering was proposed using Info-Kmeans based image indexing construction method. Firstly,a noise-filtering me-thod using the cosine interesting patterns was presented. Secondly,a novel Info-Kmeans algorithm was proposed which could avoid the zero-feature dilemma caused by the use of KL-divergence and exploit the prior knowledge in the form of pair constraints. The experimental results on the two image data sets,LFW and Oxford_5K,well demonstrate that: noise filter can improve the clustering performance remarkably and the novel Info-Kmeans algorithm yields better results than the existing clustering tool. |
| format | Article |
| id | doaj-art-13d3565615854f95bf040d24c1a94baf |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-13d3565615854f95bf040d24c1a94baf2025-01-14T06:40:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-07-013415916659673797Image indexing method based on clustering via Info-Kmeans under pair constraintsWen-jie LIUZhi-ang WUJie CAOJin-gui PANConstructing high-quality content-based image indexing is fairly difficult due to the large amount of noise in the data set and the high-dimension and the sparseness of the image data.To meet this challenge,a novel noise-filtering and clustering was proposed using Info-Kmeans based image indexing construction method. Firstly,a noise-filtering me-thod using the cosine interesting patterns was presented. Secondly,a novel Info-Kmeans algorithm was proposed which could avoid the zero-feature dilemma caused by the use of KL-divergence and exploit the prior knowledge in the form of pair constraints. The experimental results on the two image data sets,LFW and Oxford_5K,well demonstrate that: noise filter can improve the clustering performance remarkably and the novel Info-Kmeans algorithm yields better results than the existing clustering tool.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.07.018/image indexingnteresting patternnoise filteringcluster analysis |
| spellingShingle | Wen-jie LIU Zhi-ang WU Jie CAO Jin-gui PAN Image indexing method based on clustering via Info-Kmeans under pair constraints Tongxin xuebao image indexing nteresting pattern noise filtering cluster analysis |
| title | Image indexing method based on clustering via Info-Kmeans under pair constraints |
| title_full | Image indexing method based on clustering via Info-Kmeans under pair constraints |
| title_fullStr | Image indexing method based on clustering via Info-Kmeans under pair constraints |
| title_full_unstemmed | Image indexing method based on clustering via Info-Kmeans under pair constraints |
| title_short | Image indexing method based on clustering via Info-Kmeans under pair constraints |
| title_sort | image indexing method based on clustering via info kmeans under pair constraints |
| topic | image indexing nteresting pattern noise filtering cluster analysis |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.07.018/ |
| work_keys_str_mv | AT wenjieliu imageindexingmethodbasedonclusteringviainfokmeansunderpairconstraints AT zhiangwu imageindexingmethodbasedonclusteringviainfokmeansunderpairconstraints AT jiecao imageindexingmethodbasedonclusteringviainfokmeansunderpairconstraints AT jinguipan imageindexingmethodbasedonclusteringviainfokmeansunderpairconstraints |