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Today, image retrieval system has become a vital necessity for computing users. Different search systems  are increasingly invading the computing software markets, such as QBIC, Photobook and BlobWord. The  only negative point these systems have in common is their lack of semantics in query processing, low  interactivity and the irrelevance of search results. To overcome these limitations, we propose a more  efficient alternative system: a system for image retrieval. This new system provides an intelligent search by  content, by keyword, by index, etc. To confirm our approach, we have defined a combination with Oracle  DBMS that would lead to 1) an advanced modeling of image type using a signature that describes the  physical and semantic content of images, 2) the modeling of different types of search by creating stored  procedures in PL/SQL language and 3) simple storage and handling of images in database through an  intuitive interface. We prove that this system can be used in a distributed environment.

Visual-CBIR: Platform for Storage and Effective Manipulation of a Database Images