Vol-2423
urn:nbn:de:0074-2423-3

Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

DataTV 2019
Data-Driven Personalisation of Television

Proceedings of the 1st International Workshop on Data-Driven Personalisation of Television
co-located with the ACM International Conference on Interactive Experiences for Television and Online Video (TVX 2019)

Manchester, UK, June 5, 2019.

Edited by

Jeremy Foss *
Lyndon Nixon
Ben Shirley *
Basil Philipp **
Benedita Malheiro *
Vasileios Mezaris
Sara Kepplinger *
Alexandre Ulisses ******

* Birmingham City University, Birmingham, UK
** MODUL Technology GmbH, Vienna, Austria
*** University of Salford, Salford, UK
**** Genistat AG, Zurich, Switzerland
***** Porto Polytechnic, Porto, Portugal
****** CERTH-ITI, Thessaloniki, Greece
******* Fraunhofer IDMT, Ilmenau, Germany
******** MOG Technologies, Maia, Portugal

Table of Contents

Preface

Accepted papers

Personalization of Object-based Audio for Accessibility using Narrative Importance
Ben G. Shirley, Lauren Ward, Emmanouil Theofanis Chourdakis
MPEG Intellectual Property Rights Ontologies for Media Trading and Personalization
Panos Kudumakis, Thomas Wilmering, Mark Sandler, Jeremy Foss
The Virtual Director Concept: Data-Driven Adaptation and Personalization for Live Video Streams
Rene Kaiser
The Trans-Vector Platform for optimised Re-purposing and Re-publication of TV Content
Lyndon Nixon, Miggi Zwicklbauer, Lizzy Komen, Basil Philipp
Stream Recommendation using Individual Hyper-Parameters
Bruno Veloso, Benedita Malheiro, Jerry Foss

2019-07-31: submitted by Lyndon Nixon, metadata incl. bibliographic data published under Creative Commons CC0
2019-08-01: published on CEUR-WS.org |valid HTML5|