Multiple inverted array index structure for asymmetric similarity measure

  • Authors:
  • Noburou Taniguchi;Hiroki Akama;Masashi Yamamuro

  • Affiliations:
  • NTT Information and Communication Systems Laboratories, Yokosuka, Kanagawa, Japan;NTT Information and Communication Systems Laboratories, Yokosuka, Kanagawa, Japan;NTT Information and Communication Systems Laboratories, Yokosuka, Kanagawa, Japan

  • Venue:
  • IM'98 Proceedings of the 1998 international conference on Challenge of Image Retrieval
  • Year:
  • 1998

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Abstract

Due to the growing volume of digital image data in recent years, the demand and necessity for a system that can manage large image sets are rising. It is vital to create sophisticated retrieval functions in order to enhance the user's convenience. A lot of attention is now being placed on feature-based similarity retrieval which employs features extracted automatically from images. We have been carrying out research on the image retrieval system called ExSight which makes use of feature-based similarity retrieval. In this paper, we propose a similarity measure for evaluating image shape similarity, and an access method for the proposed similarity measure. We also discuss our experimental observations.