Use of semantic technologies for the analysis of multimedia content transmitted for land digital television

This project is the continuation of another previous one and is consolidated within the line of research that seeks to reduce the overload of information to which digital TV users are exposed. The previous work was focused on the formal representation (using ontologies) of the preferences of viewers and the contents of the programs to generate a recommendation system that allows the user to assist in the search and selection of programming that best suits their tastes and interests. The second stage of the project pursues content customization, through the semantic annotation of the audio and video, enriching them with metadata that add value -added services to the user. This customization goes hand in hand with the identification of communities of interest that consider the particular tastes and preferences of viewers. In addition, with the aim of reducing the television signal reception costs, the design of a digital TV device that uses a high integration chip is proposed. Approaches will be integrated from patterns recognition fields, group modeling, natural language processing, signal processing and semantic annotation.

XIII UNIVERSITY COMPETITION FOR RESEARCH PROJECTS