An efficient signature representation for retrieval of spatially similar images
Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given qu...
Ausführliche Beschreibung
Autor*in: |
Khan, Naimul Mefraz [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2010 |
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Schlagwörter: |
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Anmerkung: |
© Springer-Verlag London Limited 2010 |
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Übergeordnetes Werk: |
Enthalten in: Signal, image and video processing - London [u.a.] : Springer, 2007, 6(2010), 1 vom: 31. Aug., Seite 55-70 |
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Übergeordnetes Werk: |
volume:6 ; year:2010 ; number:1 ; day:31 ; month:08 ; pages:55-70 |
Links: |
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DOI / URN: |
10.1007/s11760-010-0179-3 |
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Katalog-ID: |
SPR022266011 |
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245 | 1 | 3 | |a An efficient signature representation for retrieval of spatially similar images |
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520 | |a Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. | ||
650 | 4 | |a Content-based image retrieval |7 (dpeaa)DE-He213 | |
650 | 4 | |a Spatial similarity-based image retrieval |7 (dpeaa)DE-He213 | |
650 | 4 | |a Symbolic image |7 (dpeaa)DE-He213 | |
650 | 4 | |a Image signature |7 (dpeaa)DE-He213 | |
650 | 4 | |a Image indexing |7 (dpeaa)DE-He213 | |
650 | 4 | |a Image retrieval |7 (dpeaa)DE-He213 | |
700 | 1 | |a Ahmad, Imran Shafiq |4 aut | |
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10.1007/s11760-010-0179-3 doi (DE-627)SPR022266011 (SPR)s11760-010-0179-3-e DE-627 ger DE-627 rakwb eng Khan, Naimul Mefraz verfasserin aut An efficient signature representation for retrieval of spatially similar images 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Limited 2010 Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. Content-based image retrieval (dpeaa)DE-He213 Spatial similarity-based image retrieval (dpeaa)DE-He213 Symbolic image (dpeaa)DE-He213 Image signature (dpeaa)DE-He213 Image indexing (dpeaa)DE-He213 Image retrieval (dpeaa)DE-He213 Ahmad, Imran Shafiq aut Enthalten in Signal, image and video processing London [u.a.] : Springer, 2007 6(2010), 1 vom: 31. Aug., Seite 55-70 (DE-627)546899102 (DE-600)2391619-9 1863-1711 nnns volume:6 year:2010 number:1 day:31 month:08 pages:55-70 https://dx.doi.org/10.1007/s11760-010-0179-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2010 1 31 08 55-70 |
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10.1007/s11760-010-0179-3 doi (DE-627)SPR022266011 (SPR)s11760-010-0179-3-e DE-627 ger DE-627 rakwb eng Khan, Naimul Mefraz verfasserin aut An efficient signature representation for retrieval of spatially similar images 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Limited 2010 Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. Content-based image retrieval (dpeaa)DE-He213 Spatial similarity-based image retrieval (dpeaa)DE-He213 Symbolic image (dpeaa)DE-He213 Image signature (dpeaa)DE-He213 Image indexing (dpeaa)DE-He213 Image retrieval (dpeaa)DE-He213 Ahmad, Imran Shafiq aut Enthalten in Signal, image and video processing London [u.a.] : Springer, 2007 6(2010), 1 vom: 31. Aug., Seite 55-70 (DE-627)546899102 (DE-600)2391619-9 1863-1711 nnns volume:6 year:2010 number:1 day:31 month:08 pages:55-70 https://dx.doi.org/10.1007/s11760-010-0179-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2010 1 31 08 55-70 |
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10.1007/s11760-010-0179-3 doi (DE-627)SPR022266011 (SPR)s11760-010-0179-3-e DE-627 ger DE-627 rakwb eng Khan, Naimul Mefraz verfasserin aut An efficient signature representation for retrieval of spatially similar images 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Limited 2010 Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. Content-based image retrieval (dpeaa)DE-He213 Spatial similarity-based image retrieval (dpeaa)DE-He213 Symbolic image (dpeaa)DE-He213 Image signature (dpeaa)DE-He213 Image indexing (dpeaa)DE-He213 Image retrieval (dpeaa)DE-He213 Ahmad, Imran Shafiq aut Enthalten in Signal, image and video processing London [u.a.] : Springer, 2007 6(2010), 1 vom: 31. Aug., Seite 55-70 (DE-627)546899102 (DE-600)2391619-9 1863-1711 nnns volume:6 year:2010 number:1 day:31 month:08 pages:55-70 https://dx.doi.org/10.1007/s11760-010-0179-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2010 1 31 08 55-70 |
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10.1007/s11760-010-0179-3 doi (DE-627)SPR022266011 (SPR)s11760-010-0179-3-e DE-627 ger DE-627 rakwb eng Khan, Naimul Mefraz verfasserin aut An efficient signature representation for retrieval of spatially similar images 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Limited 2010 Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. Content-based image retrieval (dpeaa)DE-He213 Spatial similarity-based image retrieval (dpeaa)DE-He213 Symbolic image (dpeaa)DE-He213 Image signature (dpeaa)DE-He213 Image indexing (dpeaa)DE-He213 Image retrieval (dpeaa)DE-He213 Ahmad, Imran Shafiq aut Enthalten in Signal, image and video processing London [u.a.] : Springer, 2007 6(2010), 1 vom: 31. Aug., Seite 55-70 (DE-627)546899102 (DE-600)2391619-9 1863-1711 nnns volume:6 year:2010 number:1 day:31 month:08 pages:55-70 https://dx.doi.org/10.1007/s11760-010-0179-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2010 1 31 08 55-70 |
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10.1007/s11760-010-0179-3 doi (DE-627)SPR022266011 (SPR)s11760-010-0179-3-e DE-627 ger DE-627 rakwb eng Khan, Naimul Mefraz verfasserin aut An efficient signature representation for retrieval of spatially similar images 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Limited 2010 Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. Content-based image retrieval (dpeaa)DE-He213 Spatial similarity-based image retrieval (dpeaa)DE-He213 Symbolic image (dpeaa)DE-He213 Image signature (dpeaa)DE-He213 Image indexing (dpeaa)DE-He213 Image retrieval (dpeaa)DE-He213 Ahmad, Imran Shafiq aut Enthalten in Signal, image and video processing London [u.a.] : Springer, 2007 6(2010), 1 vom: 31. Aug., Seite 55-70 (DE-627)546899102 (DE-600)2391619-9 1863-1711 nnns volume:6 year:2010 number:1 day:31 month:08 pages:55-70 https://dx.doi.org/10.1007/s11760-010-0179-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2010 1 31 08 55-70 |
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Enthalten in Signal, image and video processing 6(2010), 1 vom: 31. Aug., Seite 55-70 volume:6 year:2010 number:1 day:31 month:08 pages:55-70 |
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Enthalten in Signal, image and video processing 6(2010), 1 vom: 31. Aug., Seite 55-70 volume:6 year:2010 number:1 day:31 month:08 pages:55-70 |
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Khan, Naimul Mefraz @@aut@@ Ahmad, Imran Shafiq @@aut@@ |
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Khan, Naimul Mefraz |
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Khan, Naimul Mefraz misc Content-based image retrieval misc Spatial similarity-based image retrieval misc Symbolic image misc Image signature misc Image indexing misc Image retrieval An efficient signature representation for retrieval of spatially similar images |
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An efficient signature representation for retrieval of spatially similar images Content-based image retrieval (dpeaa)DE-He213 Spatial similarity-based image retrieval (dpeaa)DE-He213 Symbolic image (dpeaa)DE-He213 Image signature (dpeaa)DE-He213 Image indexing (dpeaa)DE-He213 Image retrieval (dpeaa)DE-He213 |
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An efficient signature representation for retrieval of spatially similar images |
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An efficient signature representation for retrieval of spatially similar images |
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efficient signature representation for retrieval of spatially similar images |
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An efficient signature representation for retrieval of spatially similar images |
abstract |
Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. © Springer-Verlag London Limited 2010 |
abstractGer |
Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. © Springer-Verlag London Limited 2010 |
abstract_unstemmed |
Abstract Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points in an image to describe its contents, we also compare results using several different contemporary corner detection methods. Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures but also does not result in any false negative. © Springer-Verlag London Limited 2010 |
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title_short |
An efficient signature representation for retrieval of spatially similar images |
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https://dx.doi.org/10.1007/s11760-010-0179-3 |
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Ahmad, Imran Shafiq |
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10.1007/s11760-010-0179-3 |
up_date |
2024-07-04T02:29:03.453Z |
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