2. ReTV will develop aTrans-Vector
Platform (TVP) to analyse content
across all channels and “publish to
all media vectors with the effort of
one”
3. Content Collection &
Annotation
TV Program information from EPG data and
from Linked Data sources
TV Ad information from Ad suppliers
Related Content (mentioning aTV program)
fromWeb and Social Media
- Keyword Detection, Association
- Entity Recognition, Linking
- Event and Document Relations
4. Video Fragmentation & Annotation
Video fragmentation into Scene, Shot and Sub-shot
Labeling of fragments with visual concepts
Detection of brand and channel logos in frames; detection of ad breaks
5. Content Success Metrics acrossVectors
Audience metrics for OTTTV (combined with viewer profiling -> audience segmentation and
targeting)
Content success metrics forWeb and Social Media : reach, impact, popularity, sentiment, desired
associations vs no undesired associations (WYSDOM)
6. Content Success Prediction across
Vectors
Use historical data (trends) to predict future success of content
- Use topics of content as a feature, not just the content (TV
series) itself
- Identify and include external events as a feature (irregularity)
7. Content Adaptation & Re-
Purposing
Video summarization e.g. Focus on most successful topics
Text summarization e.g. Suggested keywords for a social
media posting
Content Recommendation &
Scheduling
Recommendation engine
- Most relevant content for this viewer in this context
Scheduling engine
- „Most likely to be successful“ content on this vector at this time
8. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
TheTVP enables new media professional and media
consumer applications.
Content Wizard (repurposing) Topic Compass (scheduling)
4U2 (user recommendation) Content sWitch (DAI/DCI)
Selects video clips for combination
and re-publication, with
recommendations for the vector and
time, and adaptations of content to
that vector.
Inserts content or advertising targeted
to the viewer, profiled by their (recent)
media consumption, into the media
stream (e.g. pre-roll to a recording, on
channel switch or during the ad break)
Visualises popularity of content and
topics on different vectors and
predicts the future popularity;
recommends content for a future
vector at a future time.
Chatbot to make trending content
recommendations to subscribers;
provides links to media streams,
digital content or future broadcast.
Keep ppl watching theTV content!
9. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
TopicsCompass: combine analytics and prediction to
inform a more successful content publication strategy
Topic Compass (scheduling) Visualise topics which
are predicted to be
popular on future
dates
Visualises popularity, polarity and
communication success of topics on
different vectors.
?
It will predict
future popularity,
polarity and
communication
success.
Visualise associations
made in online
content with a target
(such as aTV
program)
10. @ReTV_EU Facebook: ReTVeuwww.ReTV-Project.eu Instagram: retv_project
ContentWizard: re-purpose and re-publish content for
optimal reach on every channel
Content Wizard (repurposing)
Publish on the right
channel at the right
time for the optimal
predicted reach.
Selects video clips for combination
and re-publication, with
recommendations for the vector and
time, and adaptations of content to
that vector.
Select content for
publication based on
predictions of
popularity of that
content (Topics
Compass).
Create content
summaries based on
(a) channel (e.g. video
duration limits), (b)
topics of interest and
(c) purpose.
13. The ReTV Stakeholder Forum is your
opportunity to engage with us, be first
to get updates and have the opportunity
to test theTVP and applications!
First prototype of theTVP Dashboard is
available. Professional user tools will be
available (prototypes) July/August 2019.
Viewer applications on top ofTVP
(recommendation chatbot, dynamic in-
stream content placement) will also be
tested in July/August 2019