Image Content Engine (ICE): A System for Fast Image Database Searches Metadata

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Title

  • Main Title Image Content Engine (ICE): A System for Fast Image Database Searches

Creator

  • Author: Brase, J M
    Creator Type: Personal
  • Author: Paglieroni, D W
    Creator Type: Personal
  • Author: Weinert, G F
    Creator Type: Personal
  • Author: Grant, C W
    Creator Type: Personal
  • Author: Lopez, A S
    Creator Type: Personal
  • Author: Nikolaev, S
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization

Publisher

  • Name: Lawrence Livermore National Laboratory
    Place of Publication: Livermore, California
    Additional Info: Lawrence Livermore National Laboratory (LLNL), Livermore, CA

Date

  • Creation: 2005-03-22

Language

  • English

Description

  • Content Description: The Image Content Engine (ICE) is being developed to provide cueing assistance to human image analysts faced with increasingly large and intractable amounts of image data. The ICE architecture includes user configurable feature extraction pipelines which produce intermediate feature vector and match surface files which can then be accessed by interactive relational queries. Application of the feature extraction algorithms to large collections of images may be extremely time consuming and is launched as a batch job on a Linux cluster. The query interface accesses only the intermediate files and returns candidate hits nearly instantaneously. Queries may be posed for individual objects or collections. The query interface prompts the user for feedback, and applies relevance feedback algorithms to revise the feature vector weighting and focus on relevant search results. Examples of feature extraction and both model-based and search-by-example queries are presented.
  • Physical Description: PDF-file: 7 pages; size: 1.5 Mbytes

Subject

  • Keyword: Feedback
  • Keyword: Computer Architecture
  • STI Subject Categories: 99 General And Miscellaneous//Mathematics, Computing, And Information Science
  • Keyword: Engines
  • Keyword: Pipelines
  • STI Subject Categories: 42 Engineering
  • Keyword: Algorithms
  • Keyword: Images
  • Keyword: Vectors
  • Keyword: Security

Source

  • Conference: Presented at: SPIE Defense and Security Symposium, Orlando, FL, United States, Mar 28 - Apr 01, 2005

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Report No.: UCRL-CONF-210746
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 917905
  • Archival Resource Key: ark:/67531/metadc887962