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Minimizing the Search Space for Shape Retrieval Algorithms

  • M. Abdullah-Al-Wadud
  • Oksam Chae
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4263)

Abstract

To provide satisfactory accuracy and flexibility, most of the existing shape retrieval methods make use of different alignments and translations of the objects that introduce much computational complexity. The most computationally expensive part of these algorithms is measuring the degree of match (or mismatch) of the query object with the objects stored in database. In this paper, we present an approach to cut down a large portion of this search space (number of objects in database) that retrieval algorithms need to take into account. This method is applicable in clustering based approaches also. Moreover, this minimization is done keeping the accuracy of the retrieval algorithms intact and its efficiency is not severely affected in high dimensionalities.

Keywords

Search Space Retrieval Algorithm Shape Matcher Dissimilarity Index Retrieval Phase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • M. Abdullah-Al-Wadud
    • 1
  • Oksam Chae
    • 1
  1. 1.Department of Computer EngineeringGraduate School of Kyung Hee UniversityKyunggi-doKorea

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