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https://hdl.handle.net/11000/31469
Surveying the social, smart, and converged TV landscape: Where is television research headed?
Title: Surveying the social, smart, and converged TV landscape: Where is television research headed? |
Authors: Montpetit, Marie-Jose Cesar, Pablo Matijasevic, Maja Liu, Zhu Crowcroft, Jon Martinez Bonastre, Oscar |
Department: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Issue Date: 2012-09-13 |
URI: https://hdl.handle.net/11000/31469 |
Abstract:
“The TV is dead” motto of just a few
years ago has been replaced by the prospect
of Internet Protocol (IP) television
experiences over converged networks to
become one of the great technology
opportunities in the next few years. As an
introduction to the Special Issue on Smart,
Social and Converged Television, this
extended editorial intends to review the
current IP television landscape in its many
realizations: operator-based, over-the-top,
and user generated. We will address new
services like social TV and recommendation
engines, dissemination including new
paradigms built on peer to peer and content
centric networks, as well as the all important
quality of experience that challenges
services and networks alike. But we intend
to go further than just review the existing
work by proposing areas for the future of
television research. These include strategies
to provide services that are more efficient in
network and energy usage while being
socially engaging, novel services that will
provide consumers with a broader choice of
content and devices, and metrics that will
enable operators and users alike to define
the level of service they require or that they
are ready to provide. These topics are
addressed in this survey paper that attempts
to create a unifying framework to link them
all together. Not only is television not dead
– it is well alive, thriving and fostering
innovation and this paper will hopefully
prove it.
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Knowledge area: CDU: Generalidades.: Ciencia y tecnología de los ordenadores. Informática. |
Type of document: application/pdf |
Access rights: info:eu-repo/semantics/openAccess |
DOI: https://doi.org/10.48550/arXiv.1209.2905 |
Appears in Collections: Artículos Estadística, Matemáticas e Informática
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