US2005262067A1PendingUtilityA1

Method of searching multimedia data

Assignee: LG ELECTRONICS INCPriority: Feb 1, 1999Filed: Jul 13, 2005Published: Nov 24, 2005
Est. expiryFeb 1, 2019(expired)· nominal 20-yr term from priority
G06V 10/56G06V 10/758G06F 16/5862G06F 16/40Y10S707/99944Y10S707/99945Y10S707/99942Y10S707/99943G06F 16/5838G06F 16/583G06F 16/5854
45
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Claims

Abstract

A method of searching multimedia data is disclosed in which a search for an image can re-performed by automatically updating weights of features and/or weights of feature elements in the respective feature in an image.

Claims

exact text as granted — not AI-modified
1 - 20 . (canceled)  
   
   
       21 . A method of constructing a multimedia data comprising: 
 incorporating a feature information including feature and feature elements of an image; and    incorporating a weight information including weight information of said features and weight information of said feature elements.    
   
   
       22 . A method of  claim 21 , wherein the feature and the feature elements are represented by an image characteristic structure comprising: 
 a global information which represents a feature of a whole image; and    a spatial information which represents a feature of an image region, wherein the image characteristic structure further comprises a weight information which represents the importance of the global information and the spatial information.    
   
   
       23 . A method of searching a desired image from reference images using visual feature information comprising: 
 generating visual feature information with respect to an interested region in each reference image, the visual feature information utilized in an image search system, including: 
 providing a global feature information;  
 incorporating a local visual feature information, wherein the local visual feature information includes a set of visual feature information assigned to each sub region in each image:  
 incorporating a weight information of the global visual feature information; and  
 incorporating an importance information assigned to each sub region of the interested region in each image;  
   measuring the similarities of reference images based on the global and the local visual feature information of reference images; and    selecting an image based on the measured similarities.    
   
   
       24 . The method of  claim 23 , wherein the global and local visual feature information are plurally provided.  
   
   
       25 . The method of  claim 23 , wherein the visual feature includes color, texture, and shape.  
   
   
       26 . The method of  claim 25 , wherein the global and the local visual feature information include color histogram, region-representing color, and texture histogram.  
   
   
       27 . The method of  claim 23 , wherein the importance information represents whether the visual feature information assigned to corresponding sub region of the interested region of the interested region in the image is utilized in image search,  
   
   
       28 . The method of  claim 27 , wherein search performance is determined based on weight information and the importance information.

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