Parallel and Nearest Neighbor Search for HighDimensional Index Structure of Cbir System Using DvaTree

Abstract

The System proposed similarity measure on multimedia data to retrieve content-based
information. Parallel Similarity search focus on research in the field of adaptable similarity search which
considers the adaptation of the proposed similarity measure to different user preferences. In order to
improve the retrieval quality of content-based similarity search, they plan to examine the properties of
the underlying similarity matrix to capture those user preferences. The content-based retrieval of heavily
sized databases. As information retrieval is generally not restricted to a fixed size of the databases, this
investigate on techniques to query voluminous data in an efficient way. To support the retrieval process,
distributed vector (DVA) approximation and indexing techniques of the proposed similarity measure.