2nd International Workshop on Data-driven Personalisation of Television (DataTV-2021)
at the ACM International Conference on Interactive Media Experiences (IMX 2021), June 21, 2021
|(June 22, 2021) The DataTV 2021 Proceedings are available in Zenodo: https://zenodo.org/communities/datatv2021/.|
|(May 12, 2021) Open Call for papers, Special Issue on "Data-driven Personalisation of Television Content" in Multimedia Systems journal (Springer): the deadline for submissions is September 15, 2021.|
|(May 11, 2021) The workshop program is announced; see “Schedule and keynotes” below.|
The aim of the DataTV-2021 is to address the increasing importance and relevance of richly granular
semantically expressive data about TV and immersive audiovisual content in the media value chain.
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
audiovisual settings (360° video in AR orMR) such as:
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:
Times below are given for the ET (Eastern (Daylight) Time: New York etc.) and CEST (Central European Summer Time: Paris etc.) timezones; please compute the corresponding time for your own timezone!
The workshop starts at 9:00 am ET / 3:00 pm CEST on June 21, 2021.
|09:00 ET / 15:00 CEST:||Welcome & Keynote talk 1. Alberto Messina, “Introducing AI in media production processes: from theory to practice”|
|09:30 ET / 15:30 CEST:||Paper 1. Pasquale Lisena, Jorma Laaksonen and Raphaël Troncy, “FaceRec: An Interactive Framework for Face Recognition in Video Archives”|
|09:55 ET / 15:55 CEST:||Paper 2. Rishabh Agrawal and Niranjan Pedanekar, “Generating Personalized Highlights for Marathon Runners from Video Recordings”|
|10:20 ET / 16:20 CEST:||Break|
|10:35 ET / 16:35 CEST:||Keynote talk 2. Dieter Van Rijsselbergen, “AI in Media Production - What works now, and which challenges still need solving”|
|11:05 ET / 17:05 CEST:||Paper 3. Iacopo Ghinassi, “Unsupervised Text Segmentation via Deep Sentence Encoders: a first step towards a common framework for text-based segmentation, summarization and indexing of media content”|
|11:30 ET / 17:30 CEST:||Paper 4. Ismail Harrando and Raphaël Troncy, “"And cut!" Exploring Textual Representations for Media Content Segmentation and Alignment”|
|11:55 ET / 17:55 CEST:||Discussion|
|12:10 ET / 18:10 CEST:||Closing of the workshop|
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.
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.