Patent ID: 11954145
Assignee: HUAWEI TECHNOLOGIES CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method of claim 1, wherein the first model or the second model generates a classification confidence value for each class in the images, the first model similarity measure or the second model similarity measure being determined by the following equation, Similarity
   ⁢
      
   measure
  
  =
  
   
    
     ∑
     
      class
      ∈
      
       ⋂
       
        (
        
         A
         ,
         B
        
        )
       
      
     
    
    
     
      C
      argument
     
     (
     
      ⋂
      
       (
       
        A
        ,
        B
       
       )
      
     
     )
    
   
   
    
     ∑
     
      class
      ∈
      
       ⋃
       
        (
        
         A
         ,
         B
        
        )
       
      
     
    
    
     
      C
      max
     
     (
     
      ⋃
      
       (
       
        A
        ,
        B
       
       )
      
     
     ), where A and B are lists of the classes with respective classification confidence values in the at least one query image and each candidate image, respectively, ∩(A, B) is a class intersection list between A and B, ∩(A, B) comprising common classes between A and B, ∪(A, B) is a class union list between A and B, ∪(A, B) comprising unique classes of A and B, and Cargument is the confidence value of one of the classes in the intersection list or the union list, wherein argument is a criterion of a minimum (min), a maximum (max), or an average (ave) confidence value of the one of the classes.