Skip to main content
Top
Published in: Multimedia Systems 6/2022

19-07-2022 | Editorial

Special issue on data-driven personalisation of television content

Authors: Lyndon J. B. Nixon, Jeremy Foss, Vasileios Mezaris

Published in: Multimedia Systems | Issue 6/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Excerpt

Television content is no longer consumed only via traditional, linear TV broadcasting. The aim of this Special Issue on “Data-driven Personalisation of Television Content” is to address the increasing importance and relevance of richly granular and semantically expressive data about TV and immersive audiovisual content in the media value chain. Such data need software, specifications, standards, and best practices for extraction, modelling, and management before it can be meaningfully reused in new, innovative services for TV or other immersive audiovisual settings (e.g., 360° video in AR or MR). For this, the topics of interest to this Special Issue include but are not limited to:
  • Content understanding and summarization (e.g., to provide highlights of a program according to a specific user, theme, or channel).
  • Recommendation and scheduling across publication channels (broadcast, streaming, and social networks).
  • In-stream personalisation of content (both spatial and temporal modification of text, audio, and video).
  • Personalised and adaptive presentation for various media experiences, including user-user or network-user delivery using interworking media presentation formats.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Metadata
Title
Special issue on data-driven personalisation of television content
Authors
Lyndon J. B. Nixon
Jeremy Foss
Vasileios Mezaris
Publication date
19-07-2022
Publisher
Springer Berlin Heidelberg
Published in
Multimedia Systems / Issue 6/2022
Print ISSN: 0942-4962
Electronic ISSN: 1432-1882
DOI
https://doi.org/10.1007/s00530-022-00972-0

Other articles of this Issue 6/2022

Multimedia Systems 6/2022 Go to the issue