Texture Content-Based Retrieval Using Content Descriptions
Texture Content-Based Retrieval Using Content Descriptions
 
  We have developed a content based retrieval scheme for texture which makes use of text based descriptions of the texture as well as explicit representations of the image content. The texture representation technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other texture representations that apply more complicated statistics can be difficult to transcribe into understandable forms for normal users. With the simplicity of our features, we can express the texture in terms of simple language. This gives the user a more flexible interface to the image texture and attempts to bridge the gap between semantics and computed features. A number of benefits can be achieved, offering new possibilities for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored and can modify a pre-existing texture using high level instructions. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the aspects of the texture in which they are interested. This allows them to gradually refine their texture descriptions.
  75--85
  
    
      Kuan, Joseph K. P.
      
        441cb534-30bf-4193-90cb-2a33d37c335a
      
     
  
    
      Joyce, Dan W.
      
        21018c91-19aa-4547-aa19-afefae6b661a
      
     
  
    
      Lewis, Paul H.
      
        7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
      
     
  
  
   
  
  
    
      1999
    
    
  
  
    
      Kuan, Joseph K. P.
      
        441cb534-30bf-4193-90cb-2a33d37c335a
      
     
  
    
      Joyce, Dan W.
      
        21018c91-19aa-4547-aa19-afefae6b661a
      
     
  
    
      Lewis, Paul H.
      
        7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
      
     
  
       
    
 
  
    
      
  
  
  
  
    Kuan, Joseph K. P., Joyce, Dan W. and Lewis, Paul H.
  
  
  
  
   
    (1999)
  
  
    
    Texture Content-Based Retrieval Using Content Descriptions.
  
  
  
  
    
    
    
      
        
   
  
    Storage and Retrieval for Image and Video Databases VII.
   
        
        
        
      
    
  
  
  
      
          
          
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      Record type:
      Conference or Workshop Item
      (Other)
      
      
    
   
    
      
        
          Abstract
          We have developed a content based retrieval scheme for texture which makes use of text based descriptions of the texture as well as explicit representations of the image content. The texture representation technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other texture representations that apply more complicated statistics can be difficult to transcribe into understandable forms for normal users. With the simplicity of our features, we can express the texture in terms of simple language. This gives the user a more flexible interface to the image texture and attempts to bridge the gap between semantics and computed features. A number of benefits can be achieved, offering new possibilities for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored and can modify a pre-existing texture using high level instructions. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the aspects of the texture in which they are interested. This allows them to gradually refine their texture descriptions.
        
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      Published date: 1999
 
    
  
  
    
  
    
  
    
     
        Venue - Dates:
        Storage and Retrieval for Image and Video Databases VII, 1999-01-01
      
    
  
    
  
    
  
    
  
    
     
        Organisations:
        Web & Internet Science
      
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 250796
        URI: http://eprints.soton.ac.uk/id/eprint/250796
        
        
        
        
          PURE UUID: 63f1f3c0-97e9-484c-adec-f9127c375c61
        
  
    
        
          
        
    
        
          
        
    
        
          
            
          
        
    
  
  Catalogue record
  Date deposited: 16 Feb 2000
  Last modified: 10 Dec 2021 20:13
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      Contributors
      
          
          Author:
          
            
            
              Joseph K. P. Kuan
            
          
        
      
          
          Author:
          
            
            
              Dan W. Joyce
            
          
        
      
          
          Author:
          
            
              
              
                Paul H. Lewis
              
              
            
            
          
        
      
      
      
    
  
   
  
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