DataTV2020: DataTV2020: 2nd International Workshop on Data-driven Personalisation of Television online Barcelona, Spain, June 17, 2020 |
Conference website | http://datatv2020.iti.gr/ |
Submission link | https://easychair.org/conferences/?conf=datatv2020 |
Submission deadline | May 8, 2020 |
PLEASE NOTE – ACM IMX2020 is now an online event. The DataTV workshop will also be held online.
Due to the exceptional circumstances, the call for papers is now extended to Friday May 8th, with notifications by Friday May 15th.
The aim of the DataTV-2020 workshop will be to extend the remit of the previous workshop 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 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 or MR) such as: - Content 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.
This workshop continues from the successful DataTV-2019 workshop where a range of topics were presented and reported in the workshop proceedings at http://datatv2019.iti.gr/.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
DataTV 2020 foresees two types of submission, full papers which will have an oral presentation at the workshop and short papers which may be presented as either a poster or a demo at the workshop:
Full papersThese are 7000-9000 words in the SIGCHI Proceedings Format with 150 word abstract. Papers are to describe original research to be presented in the oral session which covers at least one of the workshop topics. We expect papers to show data-driven solutions which are completed or close to completion.
Short papersThese 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. Please specifically 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.
List of Topics
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
Committees
Program Committee
- Jeremy Foss, Birmingham City University, UK
- Lyndon Nixon, MODUL Technology GmbH, Austria
- Ben Shirley, University of Salford, UK
- Benedita Malheiro, ISEP, Porto, Portugal
- Sara Kepplinger, Snipin, Germany
- Vasilis Mezaris, Information Technologies Institute / Centre for Research and Technology, Hellas, Thessaloniki, Greece
- Aisha Villegas, Netherlands Institute of Sound and Vision
- Basil Philipp, Genistat AG
Organizing committee
- Jeremy Foss, Birmingham City University, UK
- Lyndon Nixon, MODUL Technology GmbH, Austria
- Ben Shirley, University of Salford, UK
Venue
The conference will be held online.
Contact
All questions about submissions should be emailed to Jeremy Foss at jeremy.foss@bcu.ac.uk