Analisis Seleksi Tingkat Kecocokan Gambar pada MDID Multimedia Database Dengan Menggunakan Metode ImageDNA

Authors

  • Jimmy Moedjahedy Universitas Klabat
  • Hamada Zein
  • Isdayani B
  • Erfan Tongalu
  • Kusrini Kusrini
  • M. Syukri Mustafa

DOI:

https://doi.org/10.31154/cogito.v6i1.223.50-59

Abstract

Dengan semakin tersedianya pilihan informasi digital saat ini, definisi multimedia yang umum diterima adalah kombinasi dari berbagai media seperti teks, gambar, suara, video, animasi. Dalam teoris basisdata, multimedia basisdata mulai dikenalkan yaitu kumpulan data multimedia terkait. Basisdata yang dipilih untuk optimasi dalam penelitian ini adalah MDID (Multiply Distorted Image Database) yang terdiri dari 20 gambar referensi dan 1600 gambar yang sudah diberikan distorsi. Basidata 1600 gambar tersebut akan diuji kecocokan dengan 20 gambar referensi dengan menggunakan metode ImageDNA. Nilai ImageDNA kemudian dilakukan uji data pencilan, sehingga gambar yang nilai ImageDNAnya ekstrim akan dikeluarkan dari basisdata MDID. Hasil dari penelitian ini adalah ada 100 gambar yang dikeluarkan

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Published

2020-06-11

How to Cite

Moedjahedy, J., Zein, H., B, I., Tongalu, E., Kusrini, K., & Mustafa, M. S. (2020). Analisis Seleksi Tingkat Kecocokan Gambar pada MDID Multimedia Database Dengan Menggunakan Metode ImageDNA. CogITo Smart Journal, 6(1), 50–59. https://doi.org/10.31154/cogito.v6i1.223.50-59

Issue

Vol. 6 No. 1 (2020): Cogito Smart Journal

Section

Articles

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