Performing Colour-Based Similarity Searches in Multimedia Database Management Systems Augmented with Derived Images

TLDR: This paper proposes algorithms for performing colour-based similarity searches of images stored as editing operations and provides a performance evaluation illustrating their respective strengths and weaknesses.

Abstract: In order to improve the robustness of systems that perform similarity searching, it may be necessary to augment a collection of images in a Multimedia DataBase Management System (MMDBMS) with an additional set of edited images. Previous research has demonstrated that space can be saved in such a system by storing the edited images as sequences of editing operations instead of as large binary objects. The existing approaches for performing similarity searching in an MMDBMS, however, typically assume that the data objects are stored as binary objects. This paper proposes algorithms for performing colour-based similarity searches of images stored as editing operations and provides a performance evaluation illustrating their respective strengths and weaknesses.