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:
-
- Harriman, TN
- 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}
}
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