Near-duplicate image recognition; Mechanical Engineering, Automation and Control Systems (MEACS)
| Parent link: | Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.] |
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| Yhteenveto: | 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 |
| Kieli: | englanti |
| Julkaistu: |
2014
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| Aiheet: | |
| Linkit: | http://dx.doi.org/10.1109/MEACS.2014.6986916 |
| Aineistotyyppi: | Elektroninen Kirjan osa |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639059 |
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| 200 | 1 | |a Near-duplicate image recognition |f V. B. Nemirovskiy, A. K. Stoyanov | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 9 tit.] | ||
| 330 | |a 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. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 463 | 0 | |0 (RuTPU)RU\TPU\network\3200 |t Mechanical Engineering, Automation and Control Systems (MEACS) |o proceedings of the International Conference, Tomsk, 16-18 October, 2014 |f National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE) |v [4 p.] |d 2014 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a image | |
| 610 | 1 | |a pixel | |
| 610 | 1 | |a point map | |
| 610 | 1 | |a recurrent neural network | |
| 610 | 1 | |a clustering | |
| 610 | 1 | |a segmentation | |
| 610 | 1 | |a image recognition | |
| 610 | 1 | |a near-duplicates | |
| 610 | 1 | |a rank distribution | |
| 610 | 1 | |a пиксели | |
| 610 | 1 | |a нейронные сети | |
| 610 | 1 | |a кластеризация | |
| 610 | 1 | |a сегментация | |
| 610 | 1 | |a распознавание образов | |
| 610 | 1 | |a изображения | |
| 700 | 1 | |a Nemirovskiy |b V. B. |c specialist in the field of informatics and computer engineering |c associate professor of Tomsk Polytechnic University, candidate of physico-mathematical sciences |f 1945- |g Viktor Borisovich |3 (RuTPU)RU\TPU\pers\33683 | |
| 701 | 1 | |a Stoyanov |b A. K. |c specialist in the field of Informatics and computer engineering |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences |f 1946- |g Aleksandr Kirillovich |3 (RuTPU)RU\TPU\pers\33684 | |
| 712 | 0 | 2 | |a Томский политехнический университет |b Институт кибернетики, ИК |c 2010-2017 |9 27025 |
| 801 | 2 | |a RU |b 63413507 |c 20161227 |g RCR | |
| 856 | 4 | |u http://dx.doi.org/10.1109/MEACS.2014.6986916 | |
| 942 | |c CF | ||