All Technical papers articles
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Technical PapersIBC2022 Tech Papers: Sustainability in the delivery of outside broadcasts
IBC2022: This Technical Paper explores the use of remote production techniques within television production with a focus on the reduction or elimination of carbon emissions.
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Technical PapersIBC2022 Tech Papers: Predicting energy usage of high dynamic range video on mobile devices
IBC2022: This Technical Paper describes the method used to accurately measure the energy usage of a mobile device playing video content.
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Technical PapersIBC2022 Tech Paper: Post-pandemic adoption of cloud-hosted environments for video editing & tv production
IBC2022: This Technical Paper explores ITV’s investigation into harnessing the opportunites of the cloud.
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VideoIBC2020 Technical paper: Drones
Technical paper: Watch a presentation by the authors and read their technical paper on simulation environments for drone cinematography.
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VideoIBC2020 Technical papers: Machine learning
Technical Papers: Watch presentations by the authors and read their technical papers on machine learning, including an introduction to Supernova, a deep learning-based image/video quality enhancement platform and the application of machine learning in video processing.
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VideoIBC2020 Technical Papers: New Media
Technical Papers: Watch presentations by the authors and read their technical papers on storytelling and new media.
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VideoIBC2020 Technical Paper: Sustainability
Technical Papers: Watch a presentation by the authors and read their technical paper on sustainability.
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Technical PapersTOWARDS TRANSPARENT APPLICATION OF MACHINE LEARNING IN VIDEO PROCESSING
Technical paper: This paper introduces principles for simplification of learned models targeting improved transparency in implementing machine learning for video production and distribution applications.
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VideoIBC2020 Technical Papers: Trust in media
Technical Papers: Watch a presentation by the authors and read their technical paper on media provenance.
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Technical PapersIntroduction to SUPERNOVA: A deep learning-based image/video quality enhancement platform
Technical paper: This paper introduces a solution called SUPERNOVA that consists of deep learning-based methods to drastically enhance the quality of low quality media content.
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Technical PapersDEEP-LEARNING-BASED INVERSE TONE MAPPING OPERATIONS FOR HDR IMAGE RECONSTRUCTION IN BROADCAST
Technical Papers: This paper will give an overview of state-of-the-art Deep Learning approaches in the field of HDR image reconstruction and will provide technical fundamentals.
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Technical PapersSUSTAINABILITY: THE REAL COST OF DEVELOPMENT IN PUBLIC SERVICE MEDIA
Technical Papers: This paper looks at how Public Service Media can reduce their environmental impact.
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Technical PapersA SINGLE CONVOLUTIONAL NEURAL NETWORK FOR JOINT SUPER-RESOLUTION, GAMUT EXTENSION, AND INVERSE TONE-MAPPING
Technical paper: This paper introduces a workflow to down-convert existing UHD HDR videos to their HD SDR versions and proposes a joint super-resolution, gamut extension, and inverse tone-mapping network.
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Technical PapersIMPLEMENTATION OF A CELEBRITY FACE RECOGNITION AI FOR VIDEO METADATA GENERATION
Technical paper: This paper introduces a celebrity face recognition AI for video metadata generation.
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Technical PapersMEMAD PROJECT: END USER FEEDBACK ON AI IN THE MEDIA PRODUCTION WORKFLOWS
Technical paper: This paper discusses the prototypes built and end-user trials run in the European H2020 project MeMAD (Methods for Managing Audiovisual Data) for implementing more efficient media production based on semiautomated media enrichment tools.
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Technical PapersDATASET PRODUCTION AS A NEW PROCESS IN FUTURE AI-EMPOWERED MEDIA
Technical paper: This paper presents the main challenges behind archive metadata for dataset production.
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Technical PapersTHE IMPACT OF NEW FORMS OF MEDIA ON PRODUCTION TOOLS AND PRACTICES
Technical paper: This paper presents a new survey of production teams’ perceptions of personalisable media and its integration into their current workflows.
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Technical PapersTHE STORYMAKER – SUPPORTING STORYTELLING WITH USER-GENERATED VIDEOS THROUGH OBJECT RECOGNITION
Technical paper: This paper presents the design and development of Storymaker - a collaborative tool that aims to bridge the gap between incoming user generated videos and the workspaces of different editorial teams.
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Technical PapersMULTI-STAKEHOLDER MEDIA PROVENANCE MANAGEMENT TO COUNTER SYNTHETIC MEDIA RISKS IN NEWS PUBLISHING
Technical Papers: This paper looks at how to tackle the rise of manipulated content.
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VideoIBC2020 Technical Papers: Future MPEG standards VVC and EVC: 8K broadcast enabler
Technical Papers: Watch a presentation by the authors and read their technical paper on Future MPEG standards VVC and EVC
