Database Constraints

Keyword(s):  



Author(s):  
Mirjana Mazuran ◽  
Elisa Quintarelli ◽  
Rosalba Rossato ◽  
Letizia Tanca


Author(s):  
Balder ten Cate ◽  
Phokion G. Kolaitis ◽  
Wang-Chiew Tan
Keyword(s):  


2014 ◽  
Vol 556-562 ◽  
pp. 4959-4962
Author(s):  
Sai Qiao

The traditional database information retrieval method is achieved by retrieving simple corresponding association of the attributes, which has the necessary requirement that image only have a single characteristic, with increasing complexity of image, it is difficult to process further feature extraction for the image, resulting in great increase of time consumed by large-scale image database retrieval. A fast retrieval method for large-scale image databases is proposed. Texture features are extracted in the database to support retrieval in database. Constraints matching method is introduced, in large-scale image database, referring to the texture features of image in the database to complete the target retrieval. The experimental results show that the proposed algorithm applied in the large-scale image database retrieval, augments retrieval speed, thereby improves the performance of large-scale image database.



1997 ◽  
Vol 34 (3) ◽  
pp. 167-189 ◽  
Author(s):  
Levent V. Orman


2008 ◽  
Vol 51 (11) ◽  
pp. 125-129 ◽  
Author(s):  
Faiz Currim ◽  
Sudha Ram




1985 ◽  
Author(s):  
ΣΤΑΥΡΟΣ ΚΟΣΜΑΔΑΚΗΣ


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