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Open access Jurnal SINTA 2

The Use Of Color, Wavelet Coefficient and Texture Features

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 1 No. 1 (2009)

DOI
10.22146/ijccs.25
ISSN
2460-7258, 1978-1520
Published
2009-06-14
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
License
creativecommons.org/licenses/by-sa/4.0

Abstract

A Query-by-Image ability often required in many multimedia or video database application. In this case the system retrieves similar images found in the database whose features are the same as the features of the query image. The key performance is in the selection of a set of features used for characterizing images in the video database. In this research a method for searching images in a video database is developed. The method accepts an image as its input and find similar images in the database. Three features are selected to characterize images in the database: color histogram, wavelet coefficients and texture. The method is tested on video database consisting eleven videos represented in RGB dan YCbCr color models. It was found that the method found all query images as long as the quality of the input image is good.

Collaboration network of the authors

40 authors · 52 co-authorship links · 15 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • Universitas Stikubank
  • University of Indonesia
  • State University of Semarang
  • Universitas Pendidikan Ganesha
  • State University of Medan
  • Duta Wacana Christian University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Edi WinarkoUniversitas Gadjah Mada3
Retantyo WardoyoUniversitas Gadjah Mada2
Sri T. HartatiUniversitas Gadjah Mada2
Edy WinarnoUniversitas Stikubank2
Aniati Murni ArymurthyUniversity of Indonesia2
Zaenal AbidinState University of Semarang1
Yustina RetnoAffiliation unknown1
Abriyono AbriyonoAffiliation unknown1
I Gede Aris GunadiUniversitas Pendidikan Ganesha1
Rocky Yefrenes DillakUniversitas Gadjah Mada1
Ikhwan RusliantoUniversitas Gadjah Mada1
Rahmi HidayatiUniversitas Gadjah Mada1
Salman AliajiUniversitas Gadjah Mada1
Refta ListiaUniversitas Gadjah Mada1
Mahmuddin YunusAffiliation unknown1
Hermawan SyahputraState University of Medan1
Sri SuwarnoDuta Wacana Christian University1
Rajif Agung YunmarSumatera Institute of Technology1
Nurmiyati TamatjitaUniversitas Gadjah Mada1
La Ode Hasnuddin S. SagalaUniversitas Gadjah Mada1
Nicodemus Mardanus SetiohardjoPoliteknik Negeri Kupang1
I Putu Adi PratamaUniversitas Gadjah Mada1
Herman HermanUniversitas Gadjah Mada1
Dian Hafidh ZulfikarUniversitas Gadjah Mada1
Made Leo RadhityaInstitut Bisnis dan Teknologi Indonesia1
Kharis SyabanUniversitas Gadjah Mada1
Pawit RiantoAffiliation unknown1
Adri PriadanaUniversitas Gadjah Mada1
Ade NurhopipahUniversitas Amikom Purwokerto1
Aina MusdholifahUniversitas Gadjah Mada1
Nelson RumuiPoliteknik Negeri Ketapang1
Angga Maulana PurbaUniversitas Gadjah Mada1
Mohammad Edi WibowoAffiliation unknown1
Wahyono WahyonoUniversitas Gadjah Mada1
Abdul KholikUniversitas Gadjah Mada1
Anny Kartika SariUniversitas Gadjah Mada1
Alfian Abdul JalidUniversitas Gadjah Mada1
Nicolaus Euclides Wahyu NugrohoUniversitas Gadjah Mada1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.ugm.ac.id/ijccs/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">The Use Of Color, Wavelet Coefficient and Texture Features</dc:title>
	<dc:creator>Awang, Kridalaksana Harsa</dc:creator>
	<dc:creator>Harjoko, Agus</dc:creator>
	<dc:description xml:lang="en-US">A Query-by-Image ability often required in many multimedia or video database application. In this case the system retrieves similar images found in the database whose features are the same as the features of the query image. The key performance is in the selection of a set of features used for characterizing images in the video database. In this research a method for searching images in a video database is developed. The method accepts an image as its input and find similar images in the database. Three features are selected to characterize images in the database : color histogram, wavelet coefficients and texture. The method is tested on video database consisting eleven videos represented in RGB dan YCbCr color models. It was found that the method found all query images as long as the quality of the input image is good.</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:date>2009-06-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/25</dc:identifier>
	<dc:identifier>10.22146/ijccs.25</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:rights xml:lang="en-US">Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>