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Development of a Search System for Heterogeneous Image Database

  • Sanparith Marukatat
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6746)

Abstract

Nowadays, multimedia data, especially image, are of increasing number. Content-based image retrieval system is becoming an important tool to assist user in managing his/her collection of images. This work presents a development of an image search system for a particular image database containing various types of images. We present a study of visual descriptors for this database and a simple strategy to speed-up the retrieval process. We also present a relevance feedback technique based on semi-supervised learning technique. Experimental result of the proposed system seems promising.

Keywords

Image retrieval visual descriptor relevance feedback 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sanparith Marukatat
    • 1
  1. 1.IMG labNECTECPathumthaniThailand

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