Color image retrieval based on moments and DT-CWT
For the problem of poor retrieval results utilizing a single feature in the image retrieval technology, a novel method integrating color moment and spectral histogram constructed by Dual-Tree Complex Wavelet Transform (DT-CWT) is presented in this paper. Firstly, nine-component color features are ex...
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| creator | Rongbing Huang Fangnian Lang Shuilian Dong |
| description | For the problem of poor retrieval results utilizing a single feature in the image retrieval technology, a novel method integrating color moment and spectral histogram constructed by Dual-Tree Complex Wavelet Transform (DT-CWT) is presented in this paper. Firstly, nine-component color features are extracted utilizing color moment. Then spectral histogram is constructed by DT-CWT and other filters convolving with original images. Finally, the image retrieval model is used to combine color characteristic with spectral histogram and an image retrieval system is implemented. Further, relevance feedback is also used to improve the retrieval accuracy. The experimental results show that the proposed method can retrieve the user-interested images effectively and has better retrieval accuracy. |
| doi_str_mv | 10.1109/ICMT.2011.6003049 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6003049</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6003049</ieee_id><sourcerecordid>6003049</sourcerecordid><originalsourceid>FETCH-ieee_primary_60030493</originalsourceid><addsrcrecordid>eNpjYJA0NNAzNDSw1Pd09g3RMzIwNNQzMzAwNjCxZGTgMjQzNLIwMTc3sWRGcAxNOBh4i4uzDIDAzMzS2MKSk8HQOT8nv0ghMzcxPVWhKLWkKDO1LDFHISmxODVFIT9PITc_NzWvpFghMS9FwSVE1zk8hIeBNS0xpziVF0pzM0i7uYY4e-hmpqamxhcUAY0qqoyHOsUYvywAaT00Pg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Color image retrieval based on moments and DT-CWT</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Rongbing Huang ; Fangnian Lang ; Shuilian Dong</creator><creatorcontrib>Rongbing Huang ; Fangnian Lang ; Shuilian Dong</creatorcontrib><description>For the problem of poor retrieval results utilizing a single feature in the image retrieval technology, a novel method integrating color moment and spectral histogram constructed by Dual-Tree Complex Wavelet Transform (DT-CWT) is presented in this paper. Firstly, nine-component color features are extracted utilizing color moment. Then spectral histogram is constructed by DT-CWT and other filters convolving with original images. Finally, the image retrieval model is used to combine color characteristic with spectral histogram and an image retrieval system is implemented. Further, relevance feedback is also used to improve the retrieval accuracy. The experimental results show that the proposed method can retrieve the user-interested images effectively and has better retrieval accuracy.</description><identifier>ISBN: 1612847714</identifier><identifier>ISBN: 9781612847719</identifier><identifier>EISBN: 1612847749</identifier><identifier>EISBN: 1612847730</identifier><identifier>EISBN: 9781612847740</identifier><identifier>EISBN: 9781612847733</identifier><identifier>DOI: 10.1109/ICMT.2011.6003049</identifier><language>eng</language><publisher>IEEE</publisher><subject>color moment ; Computational modeling ; dual-tree complex wavelet transform ; Feature extraction ; Histograms ; Image color analysis ; Image retrieval ; relevance feedback ; spectral histogram ; Wavelet transforms</subject><ispartof>2011 International Conference on Multimedia Technology, 2011, p.2998-3001</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6003049$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6003049$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rongbing Huang</creatorcontrib><creatorcontrib>Fangnian Lang</creatorcontrib><creatorcontrib>Shuilian Dong</creatorcontrib><title>Color image retrieval based on moments and DT-CWT</title><title>2011 International Conference on Multimedia Technology</title><addtitle>ICMT</addtitle><description>For the problem of poor retrieval results utilizing a single feature in the image retrieval technology, a novel method integrating color moment and spectral histogram constructed by Dual-Tree Complex Wavelet Transform (DT-CWT) is presented in this paper. Firstly, nine-component color features are extracted utilizing color moment. Then spectral histogram is constructed by DT-CWT and other filters convolving with original images. Finally, the image retrieval model is used to combine color characteristic with spectral histogram and an image retrieval system is implemented. Further, relevance feedback is also used to improve the retrieval accuracy. The experimental results show that the proposed method can retrieve the user-interested images effectively and has better retrieval accuracy.</description><subject>color moment</subject><subject>Computational modeling</subject><subject>dual-tree complex wavelet transform</subject><subject>Feature extraction</subject><subject>Histograms</subject><subject>Image color analysis</subject><subject>Image retrieval</subject><subject>relevance feedback</subject><subject>spectral histogram</subject><subject>Wavelet transforms</subject><isbn>1612847714</isbn><isbn>9781612847719</isbn><isbn>1612847749</isbn><isbn>1612847730</isbn><isbn>9781612847740</isbn><isbn>9781612847733</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpjYJA0NNAzNDSw1Pd09g3RMzIwNNQzMzAwNjCxZGTgMjQzNLIwMTc3sWRGcAxNOBh4i4uzDIDAzMzS2MKSk8HQOT8nv0ghMzcxPVWhKLWkKDO1LDFHISmxODVFIT9PITc_NzWvpFghMS9FwSVE1zk8hIeBNS0xpziVF0pzM0i7uYY4e-hmpqamxhcUAY0qqoyHOsUYvywAaT00Pg</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Rongbing Huang</creator><creator>Fangnian Lang</creator><creator>Shuilian Dong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201107</creationdate><title>Color image retrieval based on moments and DT-CWT</title><author>Rongbing Huang ; Fangnian Lang ; Shuilian Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_60030493</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>color moment</topic><topic>Computational modeling</topic><topic>dual-tree complex wavelet transform</topic><topic>Feature extraction</topic><topic>Histograms</topic><topic>Image color analysis</topic><topic>Image retrieval</topic><topic>relevance feedback</topic><topic>spectral histogram</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Rongbing Huang</creatorcontrib><creatorcontrib>Fangnian Lang</creatorcontrib><creatorcontrib>Shuilian Dong</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rongbing Huang</au><au>Fangnian Lang</au><au>Shuilian Dong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Color image retrieval based on moments and DT-CWT</atitle><btitle>2011 International Conference on Multimedia Technology</btitle><stitle>ICMT</stitle><date>2011-07</date><risdate>2011</risdate><spage>2998</spage><epage>3001</epage><pages>2998-3001</pages><isbn>1612847714</isbn><isbn>9781612847719</isbn><eisbn>1612847749</eisbn><eisbn>1612847730</eisbn><eisbn>9781612847740</eisbn><eisbn>9781612847733</eisbn><abstract>For the problem of poor retrieval results utilizing a single feature in the image retrieval technology, a novel method integrating color moment and spectral histogram constructed by Dual-Tree Complex Wavelet Transform (DT-CWT) is presented in this paper. Firstly, nine-component color features are extracted utilizing color moment. Then spectral histogram is constructed by DT-CWT and other filters convolving with original images. Finally, the image retrieval model is used to combine color characteristic with spectral histogram and an image retrieval system is implemented. Further, relevance feedback is also used to improve the retrieval accuracy. The experimental results show that the proposed method can retrieve the user-interested images effectively and has better retrieval accuracy.</abstract><pub>IEEE</pub><doi>10.1109/ICMT.2011.6003049</doi></addata></record> |
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| ispartof | 2011 International Conference on Multimedia Technology, 2011, p.2998-3001 |
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| language | eng |
| recordid | cdi_ieee_primary_6003049 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | color moment Computational modeling dual-tree complex wavelet transform Feature extraction Histograms Image color analysis Image retrieval relevance feedback spectral histogram Wavelet transforms |
| title | Color image retrieval based on moments and DT-CWT |
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