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Efficient image retrieval using advanced SURF and DCD on mobile platform

Published: 01 April 2015 Publication History

Abstract

As the amount of digital image continues to grow in usage, users are experiencing increased difficulty in finding specific images in the image collection. This paper proposes a novel image searching scheme that extracts the image feature using combination of ASURF (Advanced Speed-Up Robust Feature) and DCD (Dominant Color Descriptor). The system for mobile image searches runs in real-time on iPhone, and can be easily used to find a natural color image. To evaluate the proposed scheme, we assessed the performance of simulation in term of average precision and F-score on two image database, which is commonly used in the field of image retrieval. The experimental results revealed that the proposed algorithm exhibited a significant improvement of over 14.4 % in retrieval effectiveness, compared to open source OpenSURF. The main contribution of this paper is that the proposed approach achieves high accuracy and stability by using ASURF and DCD in searching for natural image on mobile platform.

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  • (2022)Efficient descriptors selection in automatic image retrieval using DENOLJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21927543:2(1739-1749)Online publication date: 1-Jan-2022
  • (2022)Robust image retrieval using CCV, GCH, and MS-LBP descriptorsMultimedia Tools and Applications10.1007/s11042-021-11698-y81:3(4039-4072)Online publication date: 1-Jan-2022
  • (2021)Content-based image retrieval for categorized dataset by aggregating gradient and texture featuresNeural Computing and Applications10.1007/s00521-020-05614-y33:19(12247-12261)Online publication date: 1-Oct-2021
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Information & Contributors

Information

Published In

cover image Multimedia Tools and Applications
Multimedia Tools and Applications  Volume 74, Issue 7
April 2015
352 pages

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 April 2015

Author Tags

  1. ASURF (Advanced Speed-Up Robust Feature)
  2. DCD (Dominant Color Descriptor)
  3. Image Retrieval
  4. Mobile Image Search

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Cited By

View all
  • (2022)Efficient descriptors selection in automatic image retrieval using DENOLJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21927543:2(1739-1749)Online publication date: 1-Jan-2022
  • (2022)Robust image retrieval using CCV, GCH, and MS-LBP descriptorsMultimedia Tools and Applications10.1007/s11042-021-11698-y81:3(4039-4072)Online publication date: 1-Jan-2022
  • (2021)Content-based image retrieval for categorized dataset by aggregating gradient and texture featuresNeural Computing and Applications10.1007/s00521-020-05614-y33:19(12247-12261)Online publication date: 1-Oct-2021
  • (2018)WindsurfMultimedia Systems10.1007/s00530-017-0567-424:4(459-476)Online publication date: 1-Jul-2018
  • (2017)SURF-based mammalian species identification systemMultimedia Tools and Applications10.1007/s11042-016-3602-076:7(10133-10147)Online publication date: 1-Apr-2017
  • (2017)Fusion of local and global features for effective image extractionApplied Intelligence10.1007/s10489-017-0916-147:2(526-543)Online publication date: 1-Sep-2017
  • (2015)A new image retrieval model based on monogenic signal representationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2015.08.01433:C(85-93)Online publication date: 1-Nov-2015
  • (2015)Guest EditorialMultimedia Tools and Applications10.1007/s11042-015-2517-574:7(2195-2200)Online publication date: 1-Apr-2015

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