Near-duplicate image recognition

Near-duplicate image recognition

Bibliographic Details
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
Main Author: Nemirovskiy V. B. Viktor Borisovich
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Other Authors: Stoyanov A. K. Aleksandr Kirillovich
Summary: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
Published: 2014
Subjects:
электронный ресурс
труды учёных ТПУ
image
pixel
point map
recurrent neural network
clustering
segmentation
image recognition
near-duplicates
rank distribution
пиксели
нейронные сети
кластеризация
сегментация
распознавание образов
изображения
Online Access:http://dx.doi.org/10.1109/MEACS.2014.6986916
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639059

Internet

http://dx.doi.org/10.1109/MEACS.2014.6986916

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