Indexing Flower Patent Images using Domain Knowledge

Abstract

A new approach to indexing a specialized database by utilizing the color and spatial domain knowledge available for the database is described. This approach is illustrated by using it to provide a solution to the problem of indexing images of flowers for searching a flower patents database by color. The flower region is isolated from the background by using an automatic iterative segmentation algorithm with domain knowledge driven feedback. The color of the flower is defined by the color names present in the flower region and their relative proportions. The database can be queried by example and by color names. The system provides a perceptually correct retrieval with natural language queries by using a natural language color classification derived from the ISCC-NBS color system and the X Window color names. The effectiveness of the strategy on a test database is demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA365626

Entities

People

  • Edward M. Riseman
  • Madirakshi Das
  • R. Manmatha

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Classification
  • Computer Science
  • Computer Vision
  • Databases
  • Image Segmentation
  • Information Retrieval
  • Language
  • Natural Languages
  • Object Recognition
  • Patent Applications
  • Photographs
  • Recognition
  • Target Recognition
  • Three Dimensional
  • User Interface

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications