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Title: Method for the reduction of image content redundancy in large image databases

Abstract

A method of increasing information content for content-based image retrieval (CBIR) systems includes the steps of providing a CBIR database, the database having an index for a plurality of stored digital images using a plurality of feature vectors, the feature vectors corresponding to distinct descriptive characteristics of the images. A visual similarity parameter value is calculated based on a degree of visual similarity between features vectors of an incoming image being considered for entry into the database and feature vectors associated with a most similar of the stored images. Based on said visual similarity parameter value it is determined whether to store or how long to store the feature vectors associated with the incoming image in the database.

Inventors:
 [1];  [2]
  1. Harriman, TN
  2. Knoxville, TN
Issue Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1014516
Patent Number(s):
7672976
Application Number:
US Patent Application 11/416,844
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y10 - TECHNICAL SUBJECTS COVERED BY FORMER USPC Y10S - TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
DOE Contract Number:  
AC05-96OR22464
Resource Type:
Patent
Country of Publication:
United States
Language:
English

Citation Formats

Tobin, Kenneth William, and Karnowski, Thomas P. Method for the reduction of image content redundancy in large image databases. United States: N. p., 2010. Web.
Tobin, Kenneth William, & Karnowski, Thomas P. Method for the reduction of image content redundancy in large image databases. United States.
Tobin, Kenneth William, and Karnowski, Thomas P. Tue . "Method for the reduction of image content redundancy in large image databases". United States. https://www.osti.gov/servlets/purl/1014516.
@article{osti_1014516,
title = {Method for the reduction of image content redundancy in large image databases},
author = {Tobin, Kenneth William and Karnowski, Thomas P},
abstractNote = {A method of increasing information content for content-based image retrieval (CBIR) systems includes the steps of providing a CBIR database, the database having an index for a plurality of stored digital images using a plurality of feature vectors, the feature vectors corresponding to distinct descriptive characteristics of the images. A visual similarity parameter value is calculated based on a degree of visual similarity between features vectors of an incoming image being considered for entry into the database and feature vectors associated with a most similar of the stored images. Based on said visual similarity parameter value it is determined whether to store or how long to store the feature vectors associated with the incoming image in the database.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {3}
}

Works referenced in this record:

A dyadic wavelet affine invariant function for 2D shape recognition
journal, January 2001


Image-Based Informatics for Preclinical Biomedical Research
book, January 2006


Field-test results of an image retrieval system for semiconductor yield learning
conference, June 2001


Content-Based Image Retrieval for Semiconductor Process Characterization
journal, July 2002


Feature extraction from photographic images using a hybrid neural network
conference, March 1999

  • Becanovic, Vlatko; Kermit, Martin; Eide, Age J.
  • Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, SPIE Proceedings
  • https://doi.org/10.1117/12.343053

Automated Feature Generation in Large-Scale Geospatial Libraries for Content-Based Indexing
journal, May 2006


Semiconductor sidewall shape estimation
journal, July 2004


A new similarity measure for histograms applied to content-based retrieval of medical images
conference, January 2006


Clinical evaluation of an international static image–based telepathology service
journal, December 2001


Digital photo similarity analysis in frequency domain and photo album compression
conference, January 2004


Content-based image retrieval at the end of the early years
journal, January 2000


Image retrieval and perceptual similarity
journal, January 2006


Symbol recognition by error-tolerant subgraph matching between region adjacency graphs
journal, January 2001