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ReTV SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

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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.

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

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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