An image search system with analytical functions for 3D color vector quantization and cluster-based shape and structure features

Ali Ridho Barakbah, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The application area of image retrieval systems has widely spread to the WWW and multimedia database environments. This paper presents an image search system with analytical functions for combining shape, structure, and color features. The system pre-processes an image segmentation from hybrid color systems of HSL and CIELAB. This segmentation process includes a new mechanism for clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system extracts three features of an image which are color, shape and structure. We apply the 3D Color Vector Quantization for the color feature extraction. The shape properties of an image which include eccentricity, area, equivalent diameter, and convex area, are analyzed for extracting the shape feature. The image structure is identified by applying 2D Forward Mirror-Extended Curvelet Transform. Another distinctive idea introduced in this paper is a new distance metric which represents a semantic similarity. This paper has evaluations of the system using 1000 JPEG images from COREL image collections. The experimental results clarify the feasibility and effectiveness of the proposed system to improve accuracy for image retrieval.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXI
PublisherIOS Press
Pages168-187
Number of pages20
ISBN (Print)9781607500896
DOIs
Publication statusPublished - 2010 Jan 1

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume206
ISSN (Print)0922-6389

Keywords

  • CBIR
  • Distance metric
  • Feature extraction
  • Image retrieval
  • Image segmentation

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Barakbah, A. R., & Kiyoki, Y. (2010). An image search system with analytical functions for 3D color vector quantization and cluster-based shape and structure features. In Information Modelling and Knowledge Bases XXI (pp. 168-187). (Frontiers in Artificial Intelligence and Applications; Vol. 206). IOS Press. https://doi.org/10.3233/978-1-60750-477-1-169