Open AccessFuture Vision of Interactive and Intelligent TV Systems using Edge AI
Author(s) -
Álan L. V. Guedes,
Antonio José G. Busson,
João Paulo Navarro,
Sérgio Colcher
Publication year - 2020
Publication title -
set international journal of broadcast engineering (online)/set international journal of broadcast engineering
Language(s) - English
Resource type - Journals
eISSN - 2446-9432
pISSN - 2446-9246
DOI - 10.18580/setijbe.2020.4
Subject(s) - computer science , enhanced data rates for gsm evolution , digital television , edge computing , cloud computing , operationalization , relevance (law) , broadband , focus (optics) , layer (electronics) , multimedia , artificial intelligence , telecommunications , operating system , philosophy , chemistry , physics , optics , epistemology , organic chemistry , political science , law
Recently the Brazilian DTV system standards have been upgraded, called TV 2.5, in order to provide a better integration between broadcast and broadband services. The next Brazilian DTV system evolution, called TV 3.0, will address more deeply this convergence of TV systems not only at low-level network layers but also at the application layer. One of the new features to be addressed by this future application layer is the use of Artificial Intelligence technologies. Recently, there have been practical applications using Artificial Intelligence (AI) deployed to improve TV production efficiency and correlated cost reduction. The success in operationalize and evaluate these applications is a strong indication of the interest and relevance of AI in TV. This paper presents TeleMÃdia Lab’s future vision on interactive and intelligent TV Systems, with particular focus on edge AI. Edge AI means use in-device capabilities to run AI applications instead of running them in cloud.