The technological convergence brought by the digital language integrates traditionally separated systems into mixed multimedia environments. Innovative techniques for the treatment of multimedia signals (images, 2D and 3D audio and video) involve the entire process of creation, acquisition, coding, transmission, processing and presentation of information.

Web and social networks, video archives, traces left on e-commerce sites and search engines, data collected through personal communication devices, sensor networks and remote sensing systems are just a few examples of the digital information stream. The possibility to analyze these data automatically paves the way for new application scenarios, such as discovering hidden rules in data sequences, recognizing semantic entities, modelling sensorial and instrumental data in real time, profiling users implicitly. Data retrieval and data mining systems raise interest in the scientific community, private enterprises and public institutions.

From the point of view of the content industry, digital technologies allow for the management of nearly unlimited virtual catalogues, while reducing distribution costs. This model is transversal to all media and entertainment industries (from book selling to audiovisual content distribution and music industry), while revolutionizing traditional distribution systems. Against this background, it is possible to position tools for analysis and document research for digital libraries, whose database does not only contain text-based documents but also visual, audiovisual, audio and multimedia contents.

In depth

FUB operates in a wide range of areas concerning the retrieval and analysis of Web contents and large databases:

  • Definition of new techniques for clustering and ranking
  • Automatic classification of images
  • Development of methodologies and tools for opinion mining