A Fast, Background-Independent Retrieval Strategy for Color Image Databases

Abstract

We describe an interactive, multi-phase color-based image retrieval system which is capable of identifying query objects specified by the user in an image in the presence of significant, interfering backgrounds. The system uses a split and merge histogram peak detection technique, efficient indexing and a color neighborhood graph-based refinement phase for removing false matches. The method is fast and has low storage overhead. Good retrieval results are obtained with multi-colored query objects even when they occur in arbitrary sizes, rotations and locations in the database images. The overall scheme is flexible so that one or more phases could be used for retrieval depending on the precision desired. The experimental results on a database of advertisement images highlights the capabilities of the system.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1996
Accession Number
ADA478119

Entities

People

  • Bruce A. Draper
  • E. M. Riseman
  • Mini Das
  • R. Manmatha
  • W. J. Lim

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Classification
  • Computers
  • Contracts
  • Databases
  • Detection
  • Filtration
  • Graphs
  • Histograms
  • Information Operations
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  • Massachusetts
  • Monitoring
  • Precision
  • Rotation
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Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications