CBIR search engine for user designed query (UDQ)

Abstract

At present, most Content-Based Image Retrieval (CBIR) systems use query by example (QBE), but its drawback is the fact that the user first has to find an image which he wants to use as a query. In some situations the most difficult task is to find this one proper image which the user keeps in mind to feed it to the system as a query by example. For our CBIR, we prepared the dedicated GUI to construct a user designed query (UDQ). We describe the new search engine which matches images using both local and global image features for a query composed by the user. In our case, the spatial object location is the global feature. Our matching results take into account the kind and number of objects, their spatial layout and object feature vectors. Finally, we compare our matching result with those obtained by other search engines.