Title :
Near-duplicate image recognition
Author :
Nemirovskiy, V.B. ; Stoyanov, A.K.
Author_Institution :
Tomsk Polytech. Univ., Tomsk, Russia
Abstract :
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.
Keywords :
image recognition; image segmentation; brightness clusters cardinality; multistep segmentation; near-duplicate image recognition; rank distribution; search pattern; visual distortion; Automation; Histograms; Image segmentation; clustering; image; image recognition; near-duplicates; pixel; point map; rank distribution; recurrent neural network; segmentation;
Conference_Titel :
Mechanical Engineering, Automation and Control Systems (MEACS), 2014 International Conference on
Conference_Location :
Tomsk
Print_ISBN :
978-1-4799-6220-4
DOI :
10.1109/MEACS.2014.6986916
