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ReTV SIGNED

Enhancing and Re-Purposing TV Content for Trans-Vector Engagement

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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 ReTV project word cloud

Explore the words cloud of the ReTV project. It provides you a very rough idea of what is the project "ReTV" about.

video    niche    prediction    nisv    matrix    thin    viewer    original    online    spanish    chains    markets    annotation    creates    archive    visual    zattoo    demand    representation    decide    accurate    initial    purposing    vital    cross    retv    social    competitiveness    media    digital    validated    public    multiple    broadcaster    platform    abundance    distributor    stakeholders    english    tested    events    competitive    form    augmentation    tv    recommendation    spread    audience    lower    metadata    predicted    companies    match    french    market    professional    viewers    advantage    vectors    tvp    drive    trans    predict    time    analytics    channels    rbb    content    live    automated    patterns    purpose    extensive    languages    extract    broadcasters    web    upcoming    ott    models    relevance    engagement    guided    audiences    metrics    publication    national    appropriate    mobile    smart    fly    dutch    regional    re    tvs    vector    gain    acquisition    german    recouped    measured    interests    introduces    deployment    platforms   

Project "ReTV" data sheet

The following table provides information about the project.

Coordinator
MODUL TECHNOLOGY GMBH 

Organization address
address: AM KAHLENBERG 1
city: WIEN
postcode: 1190
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Project website https://retv-project.eu
 Total cost 3˙489˙650 €
 EC max contribution 3˙489˙650 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MODUL TECHNOLOGY GMBH AT (WIEN) coordinator 578˙882.00
2    GENISTAT AG CH (BACH) participant 748˙808.00
3    WEBLYZARD TECHNOLOGY GMBH AT (WIEN) participant 669˙050.00
4    RUNDFUNK BERLIN-BRANDENBURG DE (BERLIN) participant 502˙967.00
5    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) participant 461˙759.00
6    STICHTING NEDERLANDS INSTITUUT VOORBEELD EN GELUID NL (HILVERSUM) participant 453˙222.00
7    STICHTING VU NL (AMSTERDAM) participant 74˙959.00

Map

 Project objective

Re-purposing and re-using digital content is of vital importance to broadcasters and other stakeholders in European media value chains. High initial production or acquisition costs need to be recouped, but the abundance of online channels creates a thin viewer market for original content, especially on niche topics. Live and on-demand viewing is now spread across Smart TVs, Web and mobile applications, social media and other emerging platforms (to be referred to as “vectors”). This introduces an important challenge: How should broadcasters decide when, in what form and on which vector(s) to deliver which content? We propose the Trans-Vector Platform (TVP) to address this challenge and help media companies gain a competitive advantage through guided content re-purposing and re-publication, on the fly and across vectors. The TVP requires novel methods to extract metadata, predict patterns in the topic-vector-audience matrix, and apply these patterns to enhance and re-purpose content - across vectors and according to predicted audience interests. Thus, ReTV will advance the state of the art in video analysis, video augmentation and annotation, content and audience metrics, prediction and recommendation models, visual analytics. The results of this extensive research will be tested and validated together with a regional public broadcaster (RBB), a national TV archive (NISV) and an OTT TV distributor operating in multiple EU markets (Zattoo). ReTV will offer them a better match between content and viewers across vectors, time and five EU languages (English, German, French, Spanish, Dutch). Impact will be measured via cross-vector deployment and viewer engagement. Automated re-purposing and more accurate targeting in terms of relevance and appropriate representation, tailored to upcoming events and specific vector audiences, will drive growth, lower costs, and increase the competitiveness of broadcasters and other professional stakeholders in European media value chains.

 Deliverables

List of deliverables.
Website and online communication Websites, patent fillings, videos etc. 2020-01-30 10:20:59
Requirements for Consumer Use Case Documents, reports 2020-01-30 10:20:59
Content Adaptation, Re-Purposing and Scheduling,first version Other 2020-01-30 10:20:59
Temporal Annotation and Metrics Extraction Other 2020-01-30 10:20:59
First validation of Engagement Monitoring Prototype Documents, reports 2020-01-30 10:20:59
Metrics-based Success Factors and Predictive Analytics,first version Other 2020-01-30 10:20:59
Data Ingestion, Analysis and Annotation, Second Version Other 2020-01-30 10:20:58
Metadata and Viewer Profiling Other 2020-01-30 10:20:59
First validation of Personalization Prototype Documents, reports 2020-01-30 10:20:58
Data Ingestion, Analysis and Annotation, First Version Other 2020-01-30 10:20:59
Requirements for Content Owner Use Case Documents, reports 2020-01-30 10:20:59
Dissemination Report Documents, reports 2020-01-30 10:20:59

Take a look to the deliverables list in detail:  detailed list of ReTV deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Lyndon Nixon, Krzysztof Ciesielski and Basil Philipp
AI for Audience Prediction and Profiling to Power Innovative TV Content Recommendation Services
published pages: , ISSN: , DOI:
2020-01-30
2019 Lyndon Nixon, Miggi Zwicklbauer, Lizzy Komen, Basil Philipp
The Trans-Vector Platform for optimised Re-purposing and Republication of TV Content
published pages: , ISSN: , DOI:
2020-01-30
2019 Basil Philipp, Krzysztof Ciesielski and Lyndon Nixon
Automatically Adapting and Publishing TV Content for Increased Effectiveness and Efficiency
published pages: , ISSN: , DOI:
2020-01-30
2019 Evlampios Apostolidis, Alexandros I. Metsai, Eleni Adamantidou, Vasileios Mezaris, and Ioannis Patras
A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization
published pages: , ISSN: , DOI:
2020-01-30
2019 Weichselbraun, A., Brasoveanu, A., Kuntschik, P. and Nixon, L.
Improving Named Entity Linking Corpora Quality
published pages: , ISSN: , DOI:
2020-01-30

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The information about "RETV" are provided by the European Opendata Portal: CORDIS opendata.

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