Studies in the Use of Color for Image Indexing and Retrieval in Specialized Databases

Abstract

The content of an image is often associated with the main object(s) present in an image. Therefore, for effective content-based retrieval, the database images need to be indexed by features extracted from the object of interest, ignoring any irrelevant image background. In this work, we propose content-based retrieval strategies focusing on the use of color-based features for specialized image domains where the performance of general-purpose color image retrieval techniques is poor. The retrieval performance is improved by taking the special characteristics of the domain into account to extract the object of interest when possible, or capture the properties of the important objects present in an image when it is not possible to extract an object of interest a priori. Three test domains are selected which have very different characteristics requiring different retrieval strategies.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADA477886

Entities

People

  • Madirakshi Das

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Boundaries
  • Classification
  • Computers
  • Contracts
  • Databases
  • Feedback
  • Filters
  • Filtration
  • Graphs
  • Histograms
  • Images
  • Information Operations
  • Instructions
  • Massachusetts
  • Monitoring

Fields of Study

  • Computer science

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Neural Networks