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Object Retrieval Approach with Invariant Features Based on Corner Shapes
This paper presents a new technique for corner shape based object retrieval from a database. The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in a significant small size feature matrix compared to the algorithms using color fea...
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creator | Ahmad, N. Jongan Park Gwangwon Kang Jiyoung Kang Junguk Beak |
description | This paper presents a new technique for corner shape based object retrieval from a database. The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in a significant small size feature matrix compared to the algorithms using color features and thus is computationally very efficient. The corners have been extracted by finding the intersections of the detected lines found using Hough transform. As the affine transformations preserve the co-linearity of points on a line and their intersection properties, the resulting corner features for image retrieval are robust to affine transformations. Furthermore, the corner features are invariant to noise. It is considered that the proposed algorithm will produce good results in combination with other algorithms in a way of incremental verification for similarity. |
doi_str_mv | 10.1109/ISSPIT.2007.4458071 |
format | conference_proceeding |
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The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in a significant small size feature matrix compared to the algorithms using color features and thus is computationally very efficient. The corners have been extracted by finding the intersections of the detected lines found using Hough transform. As the affine transformations preserve the co-linearity of points on a line and their intersection properties, the resulting corner features for image retrieval are robust to affine transformations. Furthermore, the corner features are invariant to noise. 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It is considered that the proposed algorithm will produce good results in combination with other algorithms in a way of incremental verification for similarity.</description><subject>Content based image retrieval</subject><subject>Content based retrieval</subject><subject>Feedback</subject><subject>Image content retrieval</subject><subject>Image databases</subject><subject>Image indexing</subject><subject>Image retrieval</subject><subject>Indexing</subject><subject>Information retrieval</subject><subject>Multimedia databases</subject><subject>multimedia search</subject><subject>Multimedia/Image databases</subject><subject>Shape</subject><subject>Signal processing algorithms</subject><subject>Spatial databases</subject><issn>2162-7843</issn><isbn>9781424418343</isbn><isbn>1424418348</isbn><isbn>9781424418350</isbn><isbn>1424418356</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVkMtKw0AYRkdUsNQ8QTfzAolzy1yWtVgbKFRM9uXP5A9JqUmYjBXfXsFuXH2czYHzEbLiLOOcuaeiLN-KKhOMmUyp3DLDb0jijOVKKMWtzNntP1byjiwE1yI1VskHkszziTHGjVZc6wXZHeoT-kjfMYYeL3Cm62kKI_iOfvWxo8VwgdDDEOkWIX4GnOkzzNjQcaCbMQwYaNnBhPMjuW_hPGNy3SWpti_VZpfuD6_FZr1Pe8di2ggBRphaKFODy42WsvZeWagFNFx5lvtc114yEMJ6jo3R7rcjt9K7Flsnl2T1p-0R8TiF_gPC9_F6hfwBmiBPxg</recordid><startdate>200712</startdate><enddate>200712</enddate><creator>Ahmad, N.</creator><creator>Jongan Park</creator><creator>Gwangwon Kang</creator><creator>Jiyoung Kang</creator><creator>Junguk Beak</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200712</creationdate><title>Object Retrieval Approach with Invariant Features Based on Corner Shapes</title><author>Ahmad, N. ; Jongan Park ; Gwangwon Kang ; Jiyoung Kang ; Junguk Beak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-d22a727b247ba957633bcc48ab2ad14c05c56bc30a228c1ed769441583c9fef93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Content based image retrieval</topic><topic>Content based retrieval</topic><topic>Feedback</topic><topic>Image content retrieval</topic><topic>Image databases</topic><topic>Image indexing</topic><topic>Image retrieval</topic><topic>Indexing</topic><topic>Information retrieval</topic><topic>Multimedia databases</topic><topic>multimedia search</topic><topic>Multimedia/Image databases</topic><topic>Shape</topic><topic>Signal processing algorithms</topic><topic>Spatial databases</topic><toplevel>online_resources</toplevel><creatorcontrib>Ahmad, N.</creatorcontrib><creatorcontrib>Jongan Park</creatorcontrib><creatorcontrib>Gwangwon Kang</creatorcontrib><creatorcontrib>Jiyoung Kang</creatorcontrib><creatorcontrib>Junguk Beak</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</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>Ahmad, N.</au><au>Jongan Park</au><au>Gwangwon Kang</au><au>Jiyoung Kang</au><au>Junguk Beak</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Object Retrieval Approach with Invariant Features Based on Corner Shapes</atitle><btitle>2007 IEEE International Symposium on Signal Processing and Information Technology</btitle><stitle>ISSPIT</stitle><date>2007-12</date><risdate>2007</risdate><spage>825</spage><epage>830</epage><pages>825-830</pages><issn>2162-7843</issn><isbn>9781424418343</isbn><isbn>1424418348</isbn><eisbn>9781424418350</eisbn><eisbn>1424418356</eisbn><abstract>This paper presents a new technique for corner shape based object retrieval from a database. The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in a significant small size feature matrix compared to the algorithms using color features and thus is computationally very efficient. The corners have been extracted by finding the intersections of the detected lines found using Hough transform. As the affine transformations preserve the co-linearity of points on a line and their intersection properties, the resulting corner features for image retrieval are robust to affine transformations. Furthermore, the corner features are invariant to noise. It is considered that the proposed algorithm will produce good results in combination with other algorithms in a way of incremental verification for similarity.</abstract><pub>IEEE</pub><doi>10.1109/ISSPIT.2007.4458071</doi><tpages>6</tpages></addata></record> |
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ispartof | 2007 IEEE International Symposium on Signal Processing and Information Technology, 2007, p.825-830 |
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subjects | Content based image retrieval Content based retrieval Feedback Image content retrieval Image databases Image indexing Image retrieval Indexing Information retrieval Multimedia databases multimedia search Multimedia/Image databases Shape Signal processing algorithms Spatial databases |
title | Object Retrieval Approach with Invariant Features Based on Corner Shapes |
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