publication . Conference object . 2020

Content Adaptation, Personalisation and Fine-grained Retrieval: Applying AI to Support Engagement with and Reuse of Archival Content at Scale

Rasa Bocyte; Johan Oomen;
Open Access
  • Published: 27 Mar 2020
  • Publisher: SCITEPRESS - Science and Technology Publications
Abstract
Recent technological advances in the distribution of audiovisual content have opened up many opportunities for media archives to fulfil their outward-facing ambitions and easily reach large audiences with their content. This paper reports on the initial results of the ReTV research project that aims to develop novel approaches for the reuse of audiovisual collections. It addresses the reuse of archival collections from three perspectives: content holders (broadcasters and media archives) who want to adapt audiovisual content for distribution on social media, end-users who have switched from linear television to online platforms to consume audiovisual content and...
Subjects
free text keywords: Reuse, Video Summarisation, Content Adaptation, Personalisation, Multimedia Annotation, Retrieval
Funded by
EC| ReTV
Project
ReTV
Enhancing and Re-Purposing TV Content for Trans-Vector Engagement
  • Funder: European Commission (EC)
  • Project Code: 780656
  • Funding stream: H2020 | RIA
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publication . Conference object . 2020

Content Adaptation, Personalisation and Fine-grained Retrieval: Applying AI to Support Engagement with and Reuse of Archival Content at Scale

Rasa Bocyte; Johan Oomen;