Main Article Content
Abstract
There are different ways of obtaining and accessing information in a multimedia database than
information in a traditional database. For example, in a multimedia database, it might be reasonable to have a
query that asks for, say, the top 10 images that are similar to a fixed image. Beside a multimedia database might
deal with pictures that have a complicated coloring pattern and that contain a number of shapes. These
differences lead to fundamental differences between multimedia queries and standard relational database
queries. Unlike the situation in relational databases, where the semantics of a Boolean combination is quite
clear, in multimedia databases it is not at all clear what the semantics is of even the conjunction of atomic
queries. Because of that our experiments on this research show that there are some algorithm support to access
multimedia database, but two of them what we concern are fagin algorithm and threshold algorithm. For this
research there are 2 sides of fruit Citra what we have to concern. There are shape and color of fruit image. For
color of fruit we are using histogram function, and for shape of fruit we are using binary image function.
Keywords: Multimedia Database, Traditional Database, Fagin algorithm, Threshold algorithm, Coloring
Pattern, Histogram Function, Binary Image.