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Title: Experience with CANDID: Comparison algorithm for navigating digital image databases

Abstract

This paper presents results from the authors experience with CANDID (Comparison Algorithm for Navigating Digital Image Databases), which was designed to facilitate image retrieval by content using a query-by-example methodology. A global signature describing the texture, shape, or color content is first computed for every image stored in a database, and a normalized similarity measure between probability density functions of feature vectors is used to match signatures. This method can be used to retrieve images from a database that are similar to a user-provided example image. Results for three test applications are included.

Authors:
;
Publication Date:
Research Org.:
Los Alamos National Lab., NM (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10187616
Report Number(s):
LA-UR-94-3086; CONF-9410211-1
ON: DE95000869; TRN: 94:009253
DOE Contract Number:  
W-7405-ENG-36
Resource Type:
Conference
Resource Relation:
Conference: 23. AIPR workshop on image and information systems: applications and opportunities,Washington, DC (United States),12-14 Oct 1994; Other Information: PBD: [1994]
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; DIGITAL SYSTEMS; IMAGE PROCESSING; IMAGES; DATA BASE MANAGEMENT; 990301; DATA HANDLING

Citation Formats

Kelly, P, and Cannon, M. Experience with CANDID: Comparison algorithm for navigating digital image databases. United States: N. p., 1994. Web.
Kelly, P, & Cannon, M. Experience with CANDID: Comparison algorithm for navigating digital image databases. United States.
Kelly, P, and Cannon, M. Sat . "Experience with CANDID: Comparison algorithm for navigating digital image databases". United States. https://www.osti.gov/servlets/purl/10187616.
@article{osti_10187616,
title = {Experience with CANDID: Comparison algorithm for navigating digital image databases},
author = {Kelly, P and Cannon, M},
abstractNote = {This paper presents results from the authors experience with CANDID (Comparison Algorithm for Navigating Digital Image Databases), which was designed to facilitate image retrieval by content using a query-by-example methodology. A global signature describing the texture, shape, or color content is first computed for every image stored in a database, and a normalized similarity measure between probability density functions of feature vectors is used to match signatures. This method can be used to retrieve images from a database that are similar to a user-provided example image. Results for three test applications are included.},
doi = {},
url = {https://www.osti.gov/biblio/10187616}, journal = {},
number = ,
volume = ,
place = {United States},
year = {1994},
month = {10}
}

Conference:
Other availability
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