METHOD AND SYSTEM FOR COMPARING DATA OBJECTS USING JOINT HISTOGRAMS

A joint histogram is used for content-based data object comparison. For a data object which can be described by a plurality of features and values, a set of features describing the data object is selected. A joint histogram is a k-dimensional vector, such that each entry in the joint histogram contains the number of data points in the data object that are described by a k-tuple of feature values. The data object is analyzed according to the set of features and the results entered into the joint histogram. The joint histogram distinguishes the data object from other data objects. Joint histogram comparisons may be used to identify the similarity between two or more particular data objects.