The aim of 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

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers: These are to be between 7000 and 9000 words in the SIGCHI Proceedings Format with 150 word abstract, describing 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 papers: These are 3500-5500 words in the SIGCHI Proceedings Format with 150 word abstract. Papersare 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

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.

Submissions are to be made via EasyChair: https://easychair.org/conferences/?conf=datatv2021 

List of Topics

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 or TV with VR/AR/MR 
• Convergence of platforms for delivery and presentation

Committees

Program Committee

• TBD

Organizing committee

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

Venue

The workshop will be held online during the ACM International Conference on Interactive Media Experiences (IMX 2021), June 21-23, 2021.

Contact

All questions about submissions should be emailed to DataTV2021-chairs at iti.gr