B2EBF2 DataTV 2021

DataTV 2021

2nd International Workshop on Data-driven Personalisation of Television (DataTV-2021)

at the ACM International Conference on Interactive Media Experiences (IMX 2021), June 21-23, 2021

WORKSHOP AIM AND TOPICS




The aim of the DataTV-2021 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 needs 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 (360° video in AR orMR) such as:

  • 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,Social Networks)
  • In Stream Personalisation of Content (both spatial and temporal modification of text,audio, video)
  • Personalised and adaptive presentation for various media experiences, including user-user or network-user delivery using interworking media presentation formats

The workshop will solicit the latest research and development in all areas of the creation or re-use of supporting data for TV and immersive audiovisual content experiences and aims to support the growth of a community of researchers and practitioners interested in data value for personalised (immersive) media services.
Topics for the workshop include:
  • Extraction and modelling of data about TV and media content (program description,decomposition, semantic representation, categorization, emotion/mood, ratings, and public discussion about it etc.)
  • Curation of this data throughout the media value chain including commercial and contractual issues
  • Matching of media content data with user profiles for recommendation or personalisation(respecting data privacy and security)
  • Tools and services for the composition of personalised TV and immersive audiovisual content experiences, including object based media, making use of TV content data (e.g.creation of video summaries or alternative content versions, recommendation of auxiliary assets for delivery alongside TV content, dynamic insertion or modification of media in streams).
  • Cross platform experiences where users interchange or broadcast experiences to users on different platforms, including (for example)
    • TV with social media
    • TV with VR/AR/MR
    • Convergence of platforms for delivery and presentation



CALL FOR PAPERS




DataTV-2021 foresees two types of submission. Both submission types will be handled bya dedicated EasyChair page. Full papers will have an oral presentation at the workshop and short papers may be presented as either a poster or a demo at the workshop:

Full papers:

  • These are to be between 7000 and 9000 words in the SIGCHI Proceedings Format with 150word abstract, describing original research to be presented in the oral session which coversat least one of the workshop topics. We expect papers to show data-driven solutions which are completed or close to completion.

Short papers:

  • These are 3500-5500 words in the SIGCHI Proceedings Format with 150 word abstract.Papers are to describe works in progress or demos, to be included in the poster and demo session. The submitters will be asked to provide links to the work that will be presented and outline in the short paper why this is relevant to the topic of Data-driven TV, as well as identify if the submission is for a poster or a demo to be shown at the workshop. We expect new concepts and early work-in-progress to be reported here.

SUBMIT A PAPER
(The submission site is open)

IMPORTANT DATES


  • Submission deadline: 19 March 2021
  • Notifications of acceptance: 1 April 2021 
  • Camera ready submission: 30 April 2021

SCHEDULE

Detailed program coming soon

Keynote talk 1: Introducing AI in media production processes: from theory to practice

Speaker: Dr. Alberto Messina, Head of Research and Innovation Unit in TV Production, RAI

Dr. Messina is Research and Development coordinator, and Head of Rai's R&I unit in TV Production. He is the co-author of 80+ scientific publications, and he leads research on content production and management systems based on AI technologies, as well as on full-IP and cloud-based systems for production. He collaborates with national and international research institutes, and has worked in many European funded projects. A contract professor at the Polytechnic of Turin in the past, he actively participates in international standardization bodies, EBU and MPEG.


Keynote talk 2: AI in Media Production - What works now, and which challenges still need solving

Speaker: Dieter Van Rijsselbergen, Co-founder and CTO, Limecraft

Dieter Van Rijsselbergen is co-founder and CTO at Limecraft. After obtaining his Master's degree in Computer Science, Dieter joined IMEC/MMlab. As a PhD researcher, he specialised in metadata-based automation of audiovisual production workflows. More specifically, he had a first hand in a range of ground-breaking innovations that eventually lead to the incorporation of Limecraft. Now, as Limecraft's CTO, he deals with architectural decisions, research & development, and technology choices to drive Limecraft's platform product and stand-alone applications. Together with their clients, Dieter designs and builds practical solutions and workflows using Limecraft technology to help them produce better content more efficiently.


SPECIAL ISSUE

A Special Issue on “Data-driven Personalisation of Television Content” is planned to be published in the Multimedia Systems journal (Springer).

Extended versions of high-quality DataTV 2021 papers, introducing substantially new content, may be submitted to the Special Issue.

An open Call for Papers for the Special Issue has been published and can be accessed at https://www.springer.com/journal/530/updates/18878454. Guidelines for potential authors, and the link to the journal’s submission system, can also be accessed via the above link. The deadline for submissions to this Special Issue is September 15, 2021.


CHAIRS

Jeremy Foss, Birmingham City University, UK
Lyndon Nixon, MODUL Technology GmbH, Austria
Vasileios Mezaris, CERTH-ITI, Greece

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