Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Due to a huge volume of information in many domains, the need for classification methods is
imperious. In spite of many advances, most of the approaches require a large amount of …

Impressive advances in acquisition and sharing technologies have made the growth of
multimedia collections and their applications almost unlimited. However, the opposite is true …

Due to the increasing availability of image and multimedia collections, unsupervised post-
processing methods, which are capable of improving the effectiveness of retrieval results …

The representation of multimedia content experienced tremendous advances in the last
decades. Mainly supported by deep learning models, impressive results have been …

Despite the consistent advances in visual features and other Multimedia Information
Retrieval (MIR) techniques, measuring the similarity among multimedia objects is still a …

The Index is a data structure which stores data in a suitably abstracted and compressed form
to facilitate rapid processing by an application. Multidimensional databases may have a lot …

The increasing amount of multimedia data collections available today evinces the pressing
need for methods capable of indexing and retrieving this content. Despite the continuous …

Despite the consistent advances in visual features and other Content-Based Image Retrieval
techniques, measuring the similarity among images is still a challenging task for effective …

The evolution of technologies to store and share images has made imperative the need for
methods to index and retrieve multimedia information based on visual content. The CBIR …