Content-based image retrieval (CBIR), which is aimed to search images from a large size
image database based on visual contents of images in an efficient and accurate way as per …

The valorization and promotion of worldwide Cultural Heritage by the adoption of
Information and Communication Technologies represent nowadays some of the most …

This paper is motivated by the concept that the successful, effective, and sustainable
implementation of the smart city paradigm requires a close cooperation among researchers …

Mixture modeling is one of the most useful tools in machine learning and data mining
applications. An important challenge when applying finite mixture models is the selection of …

In this paper, we present an ongoing project developed within DATABENC, a high
technology district for Cultural Heritage management. In particular, the project aims at …

Big Data platforms provide opportunities for the management and analysis of large
quantities of information, but the services they provide are often too raw, since they focus on …

The dramatic growth of video content over modern media channels (such as the Internet and
mobile phone platforms) directs the interest of media broadcasters towards the topics of …

In content-based image retrieval (CBIR) using feedback-based learning, the user marks the
relevance of returned images and the system learns how to return more relevant images in a …

Several modem multimedia applications require the management of complex data, that can
be defined as hierarchical objects consisting of several component elements. In such …

Abstract Italy's Cultural Heritage is the world's most diverse and rich patrimony and attracts
millions of visitors every year to monuments, archaeological sites and museums. The …