Near-duplicate image recognition
| Parent link: | Mechanical Engineering, Automation and Control Systems (MEACS): proceedings of the International Conference, Tomsk, 16-18 October, 2014/ National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE). [4 p.].— , 2014 |
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| Riassunto: | Title screen Usage of multi-step segmentation for near-duplicate image recognition is investigated. The search pattern based on the rank distributions of the brightness clusters cardinality is suggested. Experimental results on the near-duplicate image recognition based on the application of the suggested search pattern are given. It is shown that the use of a multi-step segmentation and rank distributions of the brightness clusters cardinality allows to successfully recognize the duplicates, that received by the considerable visual distortion of the original image. Режим доступа: по договору с организацией-держателем ресурса |
| Lingua: | inglese |
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2014
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| Accesso online: | http://dx.doi.org/10.1109/MEACS.2014.6986916 |
| Natura: | Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639059 |
| Riassunto: | Title screen Usage of multi-step segmentation for near-duplicate image recognition is investigated. The search pattern based on the rank distributions of the brightness clusters cardinality is suggested. Experimental results on the near-duplicate image recognition based on the application of the suggested search pattern are given. It is shown that the use of a multi-step segmentation and rank distributions of the brightness clusters cardinality allows to successfully recognize the duplicates, that received by the considerable visual distortion of the original image. Режим доступа: по договору с организацией-держателем ресурса |
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| DOI: | 10.1109/MEACS.2014.6986916 |