Cartoon scene matching system using color and CSIFT feature
Aiming at the cartoon industry which has tremendous applications, a cartoon scene matching system is designed using an improved matching algorithm which fuses color feature and CSIFT (Colored invariant feature transform) feature. The global color statistical feature is obtained by calculating the di...
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| creator | Liqiong Deng Danwen Chen Zhimin Yuan Lingda Wu |
| description | Aiming at the cartoon industry which has tremendous applications, a cartoon scene matching system is designed using an improved matching algorithm which fuses color feature and CSIFT (Colored invariant feature transform) feature. The global color statistical feature is obtained by calculating the distribution of three parameters: H, S and I. The CSIFT global feature is calculated based on the color invariance. Two corresponding matching algorithm is brought forward. Finally, the images are matched by fusing color and CSIFT features from two floors: the bottom feature extracting floor and the top feature deciding floor. Experimental results indicate that the two features make up each other, thus it improves matching results of the cartoon scene material greatly. Compared with traditional matching algorithm, the algorithm is robust, and the mean matching precision is up to 80% in the cartoon dataset which has near 500 images. |
| doi_str_mv | 10.1109/CISP.2010.5647745 |
| format | Conference Proceeding |
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The global color statistical feature is obtained by calculating the distribution of three parameters: H, S and I. The CSIFT global feature is calculated based on the color invariance. Two corresponding matching algorithm is brought forward. Finally, the images are matched by fusing color and CSIFT features from two floors: the bottom feature extracting floor and the top feature deciding floor. Experimental results indicate that the two features make up each other, thus it improves matching results of the cartoon scene material greatly. Compared with traditional matching algorithm, the algorithm is robust, and the mean matching precision is up to 80% in the cartoon dataset which has near 500 images.</description><identifier>ISBN: 1424465133</identifier><identifier>ISBN: 9781424465132</identifier><identifier>EISBN: 9781424465156</identifier><identifier>EISBN: 1424465168</identifier><identifier>EISBN: 9781424465163</identifier><identifier>EISBN: 142446515X</identifier><identifier>DOI: 10.1109/CISP.2010.5647745</identifier><language>eng</language><publisher>IEEE</publisher><subject>cartoon ; Color ; CSIFT algorithm ; Feature extraction ; Floors ; Image color analysis ; match ; Pixel ; Robustness</subject><ispartof>2010 3rd International Congress on Image and Signal Processing, 2010, Vol.5, p.2519-2524</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/5647745$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54899</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5647745$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liqiong Deng</creatorcontrib><creatorcontrib>Danwen Chen</creatorcontrib><creatorcontrib>Zhimin Yuan</creatorcontrib><creatorcontrib>Lingda Wu</creatorcontrib><title>Cartoon scene matching system using color and CSIFT feature</title><title>2010 3rd International Congress on Image and Signal Processing</title><addtitle>CISP</addtitle><description>Aiming at the cartoon industry which has tremendous applications, a cartoon scene matching system is designed using an improved matching algorithm which fuses color feature and CSIFT (Colored invariant feature transform) feature. The global color statistical feature is obtained by calculating the distribution of three parameters: H, S and I. The CSIFT global feature is calculated based on the color invariance. Two corresponding matching algorithm is brought forward. Finally, the images are matched by fusing color and CSIFT features from two floors: the bottom feature extracting floor and the top feature deciding floor. Experimental results indicate that the two features make up each other, thus it improves matching results of the cartoon scene material greatly. Compared with traditional matching algorithm, the algorithm is robust, and the mean matching precision is up to 80% in the cartoon dataset which has near 500 images.</description><subject>cartoon</subject><subject>Color</subject><subject>CSIFT algorithm</subject><subject>Feature extraction</subject><subject>Floors</subject><subject>Image color analysis</subject><subject>match</subject><subject>Pixel</subject><subject>Robustness</subject><isbn>1424465133</isbn><isbn>9781424465132</isbn><isbn>9781424465156</isbn><isbn>1424465168</isbn><isbn>9781424465163</isbn><isbn>142446515X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1z81KAzEcBPCICGrdBxAveYGt-U4WTxJsXSgodO8lm_yjK91dSdJD396KdS7D7zIwCN1TsqSUNI-23b4vGTlRKqG1kBeoarShggmhJJXqEt3-g_NrVOX8RU6RTHOqbtCTdanM84Szhwnw6Ir_HKYPnI-5wIgP-Rd-3s8Juylgu21XHY7gyiHBHbqKbp-hOvcCdauXzr7Wm7d1a5839dCQUvcUKAjhA3HKx8ZEpwU4HggYRTkIb0gvoZc0uBh4o0FLxowyIUQl-xD4Aj38zQ4AsPtOw-jScXe-y38AzlpI7A</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Liqiong Deng</creator><creator>Danwen Chen</creator><creator>Zhimin Yuan</creator><creator>Lingda Wu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201010</creationdate><title>Cartoon scene matching system using color and CSIFT feature</title><author>Liqiong Deng ; Danwen Chen ; Zhimin Yuan ; Lingda Wu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-b1e1e44cd0a6cf98fa74ea3d0e8613e4c80b5eb51dafd397e7522868ddf65bdd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>cartoon</topic><topic>Color</topic><topic>CSIFT algorithm</topic><topic>Feature extraction</topic><topic>Floors</topic><topic>Image color analysis</topic><topic>match</topic><topic>Pixel</topic><topic>Robustness</topic><toplevel>online_resources</toplevel><creatorcontrib>Liqiong Deng</creatorcontrib><creatorcontrib>Danwen Chen</creatorcontrib><creatorcontrib>Zhimin Yuan</creatorcontrib><creatorcontrib>Lingda Wu</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>Liqiong Deng</au><au>Danwen Chen</au><au>Zhimin Yuan</au><au>Lingda Wu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Cartoon scene matching system using color and CSIFT feature</atitle><btitle>2010 3rd International Congress on Image and Signal Processing</btitle><stitle>CISP</stitle><date>2010-10</date><risdate>2010</risdate><volume>5</volume><spage>2519</spage><epage>2524</epage><pages>2519-2524</pages><isbn>1424465133</isbn><isbn>9781424465132</isbn><eisbn>9781424465156</eisbn><eisbn>1424465168</eisbn><eisbn>9781424465163</eisbn><eisbn>142446515X</eisbn><abstract>Aiming at the cartoon industry which has tremendous applications, a cartoon scene matching system is designed using an improved matching algorithm which fuses color feature and CSIFT (Colored invariant feature transform) feature. The global color statistical feature is obtained by calculating the distribution of three parameters: H, S and I. The CSIFT global feature is calculated based on the color invariance. Two corresponding matching algorithm is brought forward. Finally, the images are matched by fusing color and CSIFT features from two floors: the bottom feature extracting floor and the top feature deciding floor. Experimental results indicate that the two features make up each other, thus it improves matching results of the cartoon scene material greatly. Compared with traditional matching algorithm, the algorithm is robust, and the mean matching precision is up to 80% in the cartoon dataset which has near 500 images.</abstract><pub>IEEE</pub><doi>10.1109/CISP.2010.5647745</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2010 3rd International Congress on Image and Signal Processing, 2010, Vol.5, p.2519-2524 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | cartoon Color CSIFT algorithm Feature extraction Floors Image color analysis match Pixel Robustness |
| title | Cartoon scene matching system using color and CSIFT feature |
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