An interactive image retrieval system: from symbolic to semantic

  • Lan Le Thi (International Research Center MICA C10, Hanoi University of Technology) ;
  • Boucher Alain (International Research Center MICA C10, Hanoi University of Technology, Institut de la Francophonie pour l'Informatique nha D)
  • 발행 : 2004.08.01

초록

In this paper, we present a overview of content-based image retrieval (CBIR) systems: its results and its problems. We propose our CBIR system currently based on color and texture. From the CBIR systems. we discuss the way to add semantic values in image retrieval systems. There are 3 ways for adding them: concept definition, machine learning and man-machine interaction. Along with this we introduce our preliminary results and discuss them in the goal of reaching semantic retrieval. Different result representation schemes are presented. At last, we present our work to build a complete annotated image database and our image annotaion program.

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