Efficient query refinement for image retrieval
Although powerful image representations have been proposed for content-based image retrieval, most of the current systems are "rigid", i.e. they retrieve a fixed set of images as response to a given query and an image feature. In this paper, our goal is to introduce tools for making image...
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| creator | Nastar, C. Mitschke, M. Meilhac, C. |
| description | Although powerful image representations have been proposed for content-based image retrieval, most of the current systems are "rigid", i.e. they retrieve a fixed set of images as response to a given query and an image feature. In this paper, our goal is to introduce tools for making image retrieval systems more flexible. More precisely, we use multiple image features, and present in details a new relevance feedback technique that integrates the positive and negative examples provided by the user. Experimental results on various large databases show that the proposed technique is more performant than the standard relevance feedback approach. |
| doi_str_mv | 10.1109/CVPR.1998.698659 |
| format | Conference Proceeding |
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In this paper, our goal is to introduce tools for making image retrieval systems more flexible. More precisely, we use multiple image features, and present in details a new relevance feedback technique that integrates the positive and negative examples provided by the user. 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Experimental results on various large databases show that the proposed technique is more performant than the standard relevance feedback approach.</description><subject>Content based retrieval</subject><subject>Image databases</subject><subject>Image representation</subject><subject>Image retrieval</subject><subject>Indexing</subject><subject>Information retrieval</subject><subject>Negative feedback</subject><subject>Photography</subject><subject>Spatial databases</subject><subject>Web sites</subject><issn>1063-6919</issn><isbn>0818684976</isbn><isbn>9780818684975</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1LxDAURQMqODO6F1dduWtNmvYlWUoZR2FAEXVb0sx7EunHmHSE-fd2qKsLh8vlcBm7ETwTgpv76vP1LRPG6AyMhtKcsSXXQoMujIJzthAcZApGmEu2jPGb81yqnC9YtibyzmM_Jj8HDMckIPkeuxOgISS-s184wTF4_LXtFbsg20a8_s8V-3hcv1dP6fZl81w9bFOfczmmk5JzgFoL3hhTGF2Q0mVOzlrSYMBKAEUNKXA7bhvJSVggyEsS2Kidlit2N-_uwzB5xbHufHTYtrbH4RDrXJVCFMWpeDsXPSLW-zD5hmM9fyD_ACibT9s</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Nastar, C.</creator><creator>Mitschke, M.</creator><creator>Meilhac, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1998</creationdate><title>Efficient query refinement for image retrieval</title><author>Nastar, C. ; Mitschke, M. ; Meilhac, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-110cc6e8810b994984f7852fcaaf8696a3667fbf76cd0ab30f1a6f625f1eb7d83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Content based retrieval</topic><topic>Image databases</topic><topic>Image representation</topic><topic>Image retrieval</topic><topic>Indexing</topic><topic>Information retrieval</topic><topic>Negative feedback</topic><topic>Photography</topic><topic>Spatial databases</topic><topic>Web sites</topic><toplevel>online_resources</toplevel><creatorcontrib>Nastar, C.</creatorcontrib><creatorcontrib>Mitschke, M.</creatorcontrib><creatorcontrib>Meilhac, C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nastar, C.</au><au>Mitschke, M.</au><au>Meilhac, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Efficient query refinement for image retrieval</atitle><btitle>Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition</btitle><stitle>CVPR</stitle><date>1998</date><risdate>1998</risdate><spage>547</spage><epage>552</epage><pages>547-552</pages><issn>1063-6919</issn><isbn>0818684976</isbn><isbn>9780818684975</isbn><abstract>Although powerful image representations have been proposed for content-based image retrieval, most of the current systems are "rigid", i.e. they retrieve a fixed set of images as response to a given query and an image feature. In this paper, our goal is to introduce tools for making image retrieval systems more flexible. More precisely, we use multiple image features, and present in details a new relevance feedback technique that integrates the positive and negative examples provided by the user. Experimental results on various large databases show that the proposed technique is more performant than the standard relevance feedback approach.</abstract><pub>IEEE</pub><doi>10.1109/CVPR.1998.698659</doi><tpages>6</tpages></addata></record> |
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| ispartof | Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1998, p.547-552 |
| issn | 1063-6919 |
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| subjects | Content based retrieval Image databases Image representation Image retrieval Indexing Information retrieval Negative feedback Photography Spatial databases Web sites |
| title | Efficient query refinement for image retrieval |
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