The task of similarity search is widely used in various areas of computing, including
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …

With the continued digitization of societal processes, we are seeing an explosion in
available data. This is referred to as big data. In a research setting, three aspects of the data …

Abstract Content-Based Video Copy Detection (CBVCD) consists of detecting whether or not
a video document is a copy of some known original and to retrieve the original video …

This chapter describes several methods of similarity search, based on metric indexing, in
terms of their common, underlying principles. Several approaches to creating lower bounds …

In multimedia systems we usually need to retrieve database (DB) objects based on their
similarity to a query object, while the similarity assessment is provided by a measure which …

Similarity search fnds similar objects for a given query object based on a certain similarity
metric. Similarity search in metric spaces has attracted increasing attention, as the metric …

In this paper, we propose a formal definition of a multi-argument function distance. The
conventional definition of a distance is extended to apply to collections of more than two …

Since its introduction in 1997, the M-tree became a respected metric access method (MAM),
while remaining, together with its descendants, still the only database-friendly MAM, that is …

We present an image retrieval system based on a combined search of text and content. The
idea is to use the text present in title, description, and tags of the images for improving the …

Owing to the widespread deployment of smartphones and networked devices, massive
amount of data in different types are generated every day, including numeric data, locations …