Multimedia Information Retrieval at the Center for Intelligent Information Retrieval

Abstract

Building the digital libraries of the future will require a number of different component technologies including the ability to retrieve multimedia information. This paper will describe progress in this area at the Center for Intelligent Information Retrieval (CIIR). This includes: (1) Multi-modal retrieval using appearance based image retrieval and text retrieval. This work has been applied to a large database of trademarks containing image and text data from the US Patent and Trademark Office. 68,000 trademarks may be searched using either image retrieval or image and text retrieval while 615,000 trademarks may be searched using text retrieval. (2) Indexing handwritten manuscripts. Recently we have developed a scale space technique for word segmentation in handwritten manuscripts. (3) Other projects including color based image retrieval and the extraction of text from images.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA365624

Entities

People

  • R. Manmatha

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Character Recognition
  • Cognition
  • Computer Science
  • Computers
  • Curvature
  • Databases
  • Detection
  • Gray Scale
  • Information Retrieval
  • Materials
  • Multiplication Factor
  • Precision
  • Recognition
  • Three Dimensional
  • United States
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • Space