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

Tobin, Kenneth William; Karnowski, Thomas P

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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:

Tobin, Kenneth William ^[1]; Karnowski, Thomas P ^[2]

Harriman, TN
Knoxville, TN

Issue Date:: Tue Mar 02 00:00:00 EST 2010

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

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G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G06F16/5838 - {using colour}

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
Y10S707/99948 - Application of database or data structure, e.g. distributed, multimedia, or image

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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.

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                    Tobin, Kenneth William, & Karnowski, Thomas P. Method for the reduction of image content redundancy in large image databases.  United States.

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                    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.

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@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         = {Tue Mar 02 00:00:00 EST 2010},

  month        = {Tue Mar 02 00:00:00 EST 2010}

}

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Similar Records

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

Abstract

Citation Formats

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

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

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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

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journal, January 2001

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

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conference, June 2001

Content-Based Image Retrieval for Semiconductor Process Characterization
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Feature extraction from photographic images using a hybrid neural network
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journal, May 2006

Semiconductor sidewall shape estimation
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conference, January 2006

Clinical evaluation of an international static image–based telepathology service
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Image object classification using saccadic search, spatio-temporal pattern encoding and self-organisation
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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

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Symbol recognition by error-tolerant subgraph matching between region adjacency graphs
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