Large-scale similarity-based join processing in multimedia databases

Abstract

This paper presents efficient parallelization strategies for processing large-scale multimedia database operations. These strategies are implemented by extending and parallelizing the GiST (Generalized Search Tree)-framework. Both data and pipeline parallelism strategies are used to execute multi join operations. We integrate the parallelized framework into an Oracle 11g Multimedia Database using its extension mechanisms. Our strategies and their implementations are tested and validated with real and random data sets consisting of up-to 10 millions of image objects. © 2012 Springer-Verlag.