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Compression Impact on LIRE-based CBIR of Colonoscopy Data

  • Peter Elmer
  • Michael Häfner
  • Toru Tamaki
  • Shinji Tanaka
  • Rene Thaler
  • Andreas Uhl
  • Shigeto Yoshida
Part of the Informatik aktuell book series (INFORMAT)

Abstract

In a large experimental study, the impact of lossy image compression standards on LIRE-based CBIR in different compression scenarios is assessed. Image retrieval is conducted using NBI-colonoscopic imagery with the aim of polyp dignity assessment. Results clearly indicate that (1) JPEG2000 compression does hardly impact retrieval results, (2) it is important to compress both query and retrieval data in case of JPEG and JPEG XR, and (3) some LIRE desciptors deliver good retrieval results on these data which calls for further investigations.

Keywords

Compression Ratio Image Retrieval Local Binary Pattern Query Image Retrieval Result 
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 2016

Authors and Affiliations

  • Peter Elmer
    • 1
  • Michael Häfner
    • 2
  • Toru Tamaki
    • 3
  • Shinji Tanaka
    • 4
  • Rene Thaler
    • 1
  • Andreas Uhl
    • 1
  • Shigeto Yoshida
    • 5
  1. 1.Department of Computer SciencesUniversity of SalzburgAustria
  2. 2.St. Elisabeth HospitalViennaAustria
  3. 3.Department of Information EngineeringHiroshima UniversityJapan
  4. 4.Hiroshima University HospitalHiroshimaJapan
  5. 5.Hiroshima General Hospital of West Japan Railway CompanyJapan

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