Overview of image segmentation techniques and searching for future directions of research in content-based image retrieval
Research in content-based image retrieval has proved extremely difficult because of the inherent problems in proper automated analysis and feature extraction of the image to facilitate efficient retrieval. An image may contain more than one object and to segment the image in line with object feature...
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| creator | Deb, S. |
| description | Research in content-based image retrieval has proved extremely difficult because of the inherent problems in proper automated analysis and feature extraction of the image to facilitate efficient retrieval. An image may contain more than one object and to segment the image in line with object features to extract meaningful objects has become a challenge to the researchers in the field. Until we win over this challenge, the efficient retrieval of images from the database based on a given input image will be difficult to achieve. In this paper we take stock of the current situation and suggest some future directions in the resolution of this problem. |
| doi_str_mv | 10.1109/UMEDIA.2008.4570887 |
| format | Conference Proceeding |
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An image may contain more than one object and to segment the image in line with object features to extract meaningful objects has become a challenge to the researchers in the field. Until we win over this challenge, the efficient retrieval of images from the database based on a given input image will be difficult to achieve. In this paper we take stock of the current situation and suggest some future directions in the resolution of this problem.</description><identifier>ISBN: 9781424418657</identifier><identifier>ISBN: 1424418658</identifier><identifier>EISBN: 1424418666</identifier><identifier>EISBN: 9781424418664</identifier><identifier>DOI: 10.1109/UMEDIA.2008.4570887</identifier><identifier>LCCN: 2007908171</identifier><language>eng</language><publisher>IEEE</publisher><subject>Content based retrieval ; Content-based ; Feature extraction ; Future directions ; Image analysis ; Image color analysis ; Image databases ; Image retrieval ; Image segmentation ; Information retrieval ; multimedia ; Overview ; Shape ; Wavelet transforms</subject><ispartof>2008 First IEEE International Conference on Ubi-Media Computing, 2008, p.184-189</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/4570887$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4570887$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Deb, S.</creatorcontrib><title>Overview of image segmentation techniques and searching for future directions of research in content-based image retrieval</title><title>2008 First IEEE International Conference on Ubi-Media Computing</title><addtitle>UMEDIA</addtitle><description>Research in content-based image retrieval has proved extremely difficult because of the inherent problems in proper automated analysis and feature extraction of the image to facilitate efficient retrieval. An image may contain more than one object and to segment the image in line with object features to extract meaningful objects has become a challenge to the researchers in the field. Until we win over this challenge, the efficient retrieval of images from the database based on a given input image will be difficult to achieve. In this paper we take stock of the current situation and suggest some future directions in the resolution of this problem.</description><subject>Content based retrieval</subject><subject>Content-based</subject><subject>Feature extraction</subject><subject>Future directions</subject><subject>Image analysis</subject><subject>Image color analysis</subject><subject>Image databases</subject><subject>Image retrieval</subject><subject>Image segmentation</subject><subject>Information retrieval</subject><subject>multimedia</subject><subject>Overview</subject><subject>Shape</subject><subject>Wavelet transforms</subject><isbn>9781424418657</isbn><isbn>1424418658</isbn><isbn>1424418666</isbn><isbn>9781424418664</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kN1OAjEQRmsMiYI8ATd9gcV2-7uXBFFJMNzINem2U6iBXW0LRp_eJaxzM_kyJydfBqEJJVNKSfW4eVs8LWfTkhA95UIRrdUNGlJeck61lPIWjSul_7NQAzTsWFURTRW9Q-OUPkg3XDAp9D36XZ8hngN849bjcDQ7wAl2R2iyyaFtcAa7b8LXCRI2jetuJtp9aHbYtxH7Uz5FwC5EsBc6XSQRrhAODbZtkztVUZsErtdHyDHA2Rwe0MCbQ4Jxv0do87x4n78Wq_XLcj5bFYEqkQtnK1aB9sDB27KkjDspGVNK1x6kE6UU4JTw3AArGfOE-1pKLUltnKWlYyM0uXoDAGw_Y1cj_mz737E_jwtj8g</recordid><startdate>200807</startdate><enddate>200807</enddate><creator>Deb, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200807</creationdate><title>Overview of image segmentation techniques and searching for future directions of research in content-based image retrieval</title><author>Deb, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-dc939e8fe4efc22134d6633778bfe6d5265ed75f4ae3233f04fb66860badc12d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Content based retrieval</topic><topic>Content-based</topic><topic>Feature extraction</topic><topic>Future directions</topic><topic>Image analysis</topic><topic>Image color analysis</topic><topic>Image databases</topic><topic>Image retrieval</topic><topic>Image segmentation</topic><topic>Information retrieval</topic><topic>multimedia</topic><topic>Overview</topic><topic>Shape</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Deb, S.</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>Deb, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Overview of image segmentation techniques and searching for future directions of research in content-based image retrieval</atitle><btitle>2008 First IEEE International Conference on Ubi-Media Computing</btitle><stitle>UMEDIA</stitle><date>2008-07</date><risdate>2008</risdate><spage>184</spage><epage>189</epage><pages>184-189</pages><isbn>9781424418657</isbn><isbn>1424418658</isbn><eisbn>1424418666</eisbn><eisbn>9781424418664</eisbn><abstract>Research in content-based image retrieval has proved extremely difficult because of the inherent problems in proper automated analysis and feature extraction of the image to facilitate efficient retrieval. An image may contain more than one object and to segment the image in line with object features to extract meaningful objects has become a challenge to the researchers in the field. Until we win over this challenge, the efficient retrieval of images from the database based on a given input image will be difficult to achieve. In this paper we take stock of the current situation and suggest some future directions in the resolution of this problem.</abstract><pub>IEEE</pub><doi>10.1109/UMEDIA.2008.4570887</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2008 First IEEE International Conference on Ubi-Media Computing, 2008, p.184-189 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Content based retrieval Content-based Feature extraction Future directions Image analysis Image color analysis Image databases Image retrieval Image segmentation Information retrieval multimedia Overview Shape Wavelet transforms |
| title | Overview of image segmentation techniques and searching for future directions of research in content-based image retrieval |
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