Research on Vocabulary Sizes and Codebook Universality
Codebook is an effective image representation method. By clustering in local image descriptors, a codebook is shown to be a distinctive image feature and widely applied in object classification. In almost all existing works on codebooks, the building of the visual vocabulary follows a basic routine,...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/697245 |
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| _version_ | 1832558518802055168 |
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| author | Wei-Xue Liu Jian Hou Hamid Reza Karimi |
| author_facet | Wei-Xue Liu Jian Hou Hamid Reza Karimi |
| author_sort | Wei-Xue Liu |
| collection | DOAJ |
| description | Codebook is an effective image representation method. By clustering in local image descriptors, a codebook is shown to be a distinctive image feature and widely applied in object classification. In almost all existing works on codebooks, the building of the visual vocabulary follows a basic routine, that is, extracting local image descriptors and clustering with a user-designated number of clusters. The problem with this routine lies in that building a codebook for each single dataset is not efficient. In order to deal with this problem, we investigate the influence of vocabulary sizes on classification performance and vocabulary universality with the kNN classifier. Experimental results indicate that, under the condition that the vocabulary size is large enough, the vocabularies built from different datasets are exchangeable and universal. |
| format | Article |
| id | doaj-art-4438f55a79a644b49b7820d53f48f7f9 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-4438f55a79a644b49b7820d53f48f7f92025-02-03T01:32:05ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/697245697245Research on Vocabulary Sizes and Codebook UniversalityWei-Xue Liu0Jian Hou1Hamid Reza Karimi2School of Information Science and Technology, Bohai University, Jinzhou 121013, ChinaSchool of Information Science and Technology, Bohai University, Jinzhou 121013, ChinaDepartment of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, NorwayCodebook is an effective image representation method. By clustering in local image descriptors, a codebook is shown to be a distinctive image feature and widely applied in object classification. In almost all existing works on codebooks, the building of the visual vocabulary follows a basic routine, that is, extracting local image descriptors and clustering with a user-designated number of clusters. The problem with this routine lies in that building a codebook for each single dataset is not efficient. In order to deal with this problem, we investigate the influence of vocabulary sizes on classification performance and vocabulary universality with the kNN classifier. Experimental results indicate that, under the condition that the vocabulary size is large enough, the vocabularies built from different datasets are exchangeable and universal.http://dx.doi.org/10.1155/2014/697245 |
| spellingShingle | Wei-Xue Liu Jian Hou Hamid Reza Karimi Research on Vocabulary Sizes and Codebook Universality Abstract and Applied Analysis |
| title | Research on Vocabulary Sizes and Codebook Universality |
| title_full | Research on Vocabulary Sizes and Codebook Universality |
| title_fullStr | Research on Vocabulary Sizes and Codebook Universality |
| title_full_unstemmed | Research on Vocabulary Sizes and Codebook Universality |
| title_short | Research on Vocabulary Sizes and Codebook Universality |
| title_sort | research on vocabulary sizes and codebook universality |
| url | http://dx.doi.org/10.1155/2014/697245 |
| work_keys_str_mv | AT weixueliu researchonvocabularysizesandcodebookuniversality AT jianhou researchonvocabularysizesandcodebookuniversality AT hamidrezakarimi researchonvocabularysizesandcodebookuniversality |