Near-duplicate image recognition

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479962211
DOIs
Publication statusPublished - 15 Dec 2014
Event2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014 - Tomsk, Russian Federation
Duration: 16 Oct 201418 Oct 2014

Conference

Conference2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014
CountryRussian Federation
CityTomsk
Period16.10.1418.10.14

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Keywords

  • clustering
  • image
  • image recognition
  • near-duplicates
  • pixel
  • point map
  • rank distribution
  • recurrent neural network
  • segmentation

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Cite this

Nemirovskiy, V. B., & Stoyanov, A. K. (2014). Near-duplicate image recognition. In Proceedings of 2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014 [6986916] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEACS.2014.6986916