Near-Duplicate Image Recognition

被引：2
|
作者：
Nemirovskiy, V. B. [1 ]
Stoyanov, A. K. [1 ]
机构：
[1] Tomsk Polytech Univ, Tomsk, Russia
来源：
2014 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, AUTOMATION AND CONTROL SYSTEMS (MEACS) | 2014年
关键词：
image; pixel; point map; recurrent neural network; clustering; segmentation; image recognition; near-duplicates; rank distribution;
D O I：
10.1109/meacs.2014.6986916
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：4
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