Temu Kembali Citra Berbasis Konten pada Citra Lintas Domain

Authors

  • Yaya Wihardi FPMIPA, Universitas Pendidikan Indonesia, Bandung
  • Herbert Siregar FPMIPA, Universitas Pendidikan Indonesia, Bandung
  • Ali Mulyawan STMIK Mardira Indonesia, Bandung

Keywords:

Image Retrieval, CBIR, Gaussian Approximation, OASIS

Abstract

This research aimed to develop a cross domain content based image retrieval system by using Histogram of Oriented Gradient (HoG) features. To compute visual similarity, we use Gaussian Approximation for Fast Image Similarity (GAFIS), Online Algorithm for Scalable Image Similarity Learning (OASIS), and Hybrid method that combine both of GAFIS and OASIS. The results show that the hybrid method outperforms the others, it is because the methods could extract uniqueness of each image query and image database by utilizing Gaussian parameters from negative-set and combine it with OASIS parameters.

Author Biographies

Yaya Wihardi, FPMIPA, Universitas Pendidikan Indonesia, Bandung

 

 

Herbert Siregar, FPMIPA, Universitas Pendidikan Indonesia, Bandung

 

 

Ali Mulyawan, STMIK Mardira Indonesia, Bandung

 

 

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Published

15.06.2018

How to Cite

Wihardi, Y., Siregar, H., & Mulyawan, A. (2018). Temu Kembali Citra Berbasis Konten pada Citra Lintas Domain. Jurnal Computech &Amp; Bisnis (e-Journal), 12(1), 34–46. Retrieved from https://jurnal.stmik-mi.ac.id/index.php/jcb/article/view/126

Issue

Vol. 12 No. 1 (2018): Jurnal Computech & Bisnis (e-Journal)

Section

Articles

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.