or
Bookmark and Share
Image retrieval apparatus and image retrieving method
 
   
Document Number
US Patent 7236652
Issued Date
June 26, 2007
Link
Inventors
Map
Abstract
An object of the present invention is to provide an image retrieval system for computing similarity in the case when components are different between an image feature vector of a query image and the image feature vectors of images to be retrieved when retrieval is carried out by using features of images. A first image feature vector conversion device converts a query image feature vector into a first image feature vector for use in a similarity computation according to similarity computation image feature vector configuration information describing a given configuration of an image feature vector for use in a similarity computation. A second image feature vector conversion device converts an images-to-be-retrieved feature vector into a second image feature vector for use in a similarity computation according to the similarity computation image feature vector configuration information. The image feature vector similarity computation devices compare the first image feature vector with the second image feature vector according to the similarity computation image feature vector configuration information, and compute the similarity.
Tags:
Description:
Amusing 0%
Clever 0%
Complex 0%
Efficient 0%
Historic 0%
Important 0%
Innovative 0%
Interesting 0%
Practical 0%
Simple 0%
Number of Claims:
75
Comments:
no comments yet
Owner
NEC Corporation (Tokyo,JP)
Published
June 26, 2007
Application Number
10/202,535
Filed
July 24, 2002
US Classification
382/305   707/E17.02 707/E17.027
Int'l Classification
G06K   9/54   (20060101)   G06K   9/60   (20060101)  
Examiner
Assistant Examiner
Priority Data
Jul 25, 2001 [JP] 2001-224547
USPTO Field of Search
382/305  
Related Patents
7474783 - Systems and methods for associating color profiles with a scanned input image using spatial attributes - Owned by Xerox Corporation (Norwalk, CT)

Methods and systems used to associate color calibration profiles with scanned images based on identifying the marking process used for an image on a substrate using spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.

Claims
Description
About| FAQs| Terms & Disclaimer| Link to Us| Contact Us