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Image Retrieval System Based on Machine Learning and Using Color Features

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Computer Analysis of Images and Patterns (CAIP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1689))

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Abstract

We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images with one of five possible grades (YES, yes, neutral, no, NO) according to what he is looking for. The system returns the first 15 images with the highest probability of YES grade. The attributes used are a combination of color features. Three different machine learning techniques are compared.

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Author information

Authors and Affiliations

  1. Faculty of Computer and Information Science, University of Ljubljana, Tržaška cesta 25, SI-1000, Ljubljana, Slovenia

    Dragan Radoloviĉ & Franc Solina

Authors
  1. 1Janez Demšar
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  2. Dragan Radoloviĉ
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  3. Franc Solina
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Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Science, Tržaška cesta 25, 1001, Ljubljana, Slovenia

    Franc Solina  & Alešs Leonardis  & 

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© 1999 Springer-Verlag Berlin Heidelberg

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Demšar, 1., Radoloviĉ, D., Solina, F. (1999). Image Retrieval System Based on Machine Learning and Using Color Features. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_58

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  • DOI: https://doi.org/10.1007/3-540-48375-6_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66366-9

  • Online ISBN: 978-3-540-48375-5

  • eBook Packages: Springer Book Archive

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