Multi-resolution Joint Auto Correlograms: determining the distance function
Distance function plays a role in content-based image retrieval where the ideal distance function will be able to close the gap between computerised image interpretation and similarity judgment by humans. In this paper, few distance functions in relation to the advancement of Colour Auto Correl...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
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| _version_ | 1825949381191270400 |
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| author | Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan Doraisamy, Shyamala |
| author_facet | Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan Doraisamy, Shyamala |
| author_sort | Mustaffa, Mas Rina |
| collection | UPM |
| description | Distance function plays a role in content-based
image retrieval where the ideal distance function will be
able to close the gap between computerised image
interpretation and similarity judgment by humans. In
this paper, few distance functions in relation to the
advancement of Colour Auto Correlogram are studied
and compared in order to determine the most suitable
distance function for the proposed Multi-resolution Joint
Auto Correlograms descriptor. An experiment has been
conducted on the SIMPLIcity image database consisting
of 1000 images where the precision, recall, and rank of
various distance functions are measured. Retrieval results
have shown that the L1-norm has achieved higher
precision rate of 78.52% and has able to rank similar
images better (a rank of 199) compared to the
Generalised Tversky Index distance function. |
| first_indexed | 2024-03-06T08:43:41Z |
| format | Conference or Workshop Item |
| id | upm.eprints-39279 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T08:43:41Z |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-392792015-07-13T03:58:29Z http://psasir.upm.edu.my/id/eprint/39279/ Multi-resolution Joint Auto Correlograms: determining the distance function Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan Doraisamy, Shyamala Distance function plays a role in content-based image retrieval where the ideal distance function will be able to close the gap between computerised image interpretation and similarity judgment by humans. In this paper, few distance functions in relation to the advancement of Colour Auto Correlogram are studied and compared in order to determine the most suitable distance function for the proposed Multi-resolution Joint Auto Correlograms descriptor. An experiment has been conducted on the SIMPLIcity image database consisting of 1000 images where the precision, recall, and rank of various distance functions are measured. Retrieval results have shown that the L1-norm has achieved higher precision rate of 78.52% and has able to rank similar images better (a rank of 199) compared to the Generalised Tversky Index distance function. IEEE Conference or Workshop Item NonPeerReviewed Mustaffa, Mas Rina and Ahmad, Fatimah and Mahmod, Ramlan and Doraisamy, Shyamala Multi-resolution Joint Auto Correlograms: determining the distance function. In: International Conference on Information Retrieval and Knowledge Management (CAMP 2012), 13-15 Mar. 2012 , Mines Wellness Hotel, Selangor. (pp. 198-202). 10.1109/InfRKM.2012.6204991 |
| spellingShingle | Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan Doraisamy, Shyamala Multi-resolution Joint Auto Correlograms: determining the distance function |
| title | Multi-resolution Joint Auto Correlograms: determining the distance function |
| title_full | Multi-resolution Joint Auto Correlograms: determining the distance function |
| title_fullStr | Multi-resolution Joint Auto Correlograms: determining the distance function |
| title_full_unstemmed | Multi-resolution Joint Auto Correlograms: determining the distance function |
| title_short | Multi-resolution Joint Auto Correlograms: determining the distance function |
| title_sort | multi resolution joint auto correlograms determining the distance function |
| work_keys_str_mv | AT mustaffamasrina multiresolutionjointautocorrelogramsdeterminingthedistancefunction AT ahmadfatimah multiresolutionjointautocorrelogramsdeterminingthedistancefunction AT mahmodramlan multiresolutionjointautocorrelogramsdeterminingthedistancefunction AT doraisamyshyamala multiresolutionjointautocorrelogramsdeterminingthedistancefunction |