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

A massive and ever growing amount of data collections, including visual and multimedia
content are available today. Such content usually possesses additional information, as text …

Many image features have been proposed for image retrieval; hence, effectively fusing these
features to alleviate the large variation in performance among image queries when using …

Several visual features have been developed for content-based image retrieval in the last
decades, including global, local and deep learning-based approaches. However, despite …

Over the last decade, significant advances have been achieved by machine learning
approaches, notably in supervised learning scenarios. Supported by the advent of deep …

Nowadays, there is a great variety of visual features available for image retrieval tasks.
While fusion strategies have been established as a promising alternative, an inherent …

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 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 …

Machine learning approaches have achieved remarkable advances over the last decades,
especially in supervised learning tasks such as classification. Meanwhile, multimedia data …

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 …