All Technical Papers articles – Page 3
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Technical PapersIBC2021 Tech Papers: Advances in Audio - Using some remarkable signal processing
The subject of advances in audio is explored by Rob Oldfield in his paper ’Cloud-based AI for automatic audio production’ and by Matteo Torcoli in the paper ’Dialog+ in Broadcasting: First Field Tests using Deep-Learning-based Dialogue Enhancement.’
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Technical Papers
IBC2021 Tech Papers: The Cloud - For Live and Production Workflows
The use of the cloud for live productions is examined in ’Cloud Production for the TV 2 News App’ by Paul Macklin and Arild Rugsveen, ’Secure Global Production – using The JT-NM Reference Architecture to build cloud/hybrid workflows’ by James Cain and in the paper ’Cloud-based multi-station production and distribution ...
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Technical Papers
IBC2021 Tech Papers: Advances in Video Coding
The topic of video coding is addressed by host of papers including ’AI based saliency-aware video coding’ by Sebastien Pelurson, ’Mastering Quantization is key for video compression’ by Julien Le Tanou and supporting papers titled ’AI-based media coding and beyond’, ’The (Non)sense of Artificial Intelligence in Real-Time Video Encoding’ and ...
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Technical Papers
IBC2021 Tech Papers: More formats - more conversions
The challenges encountered when converting formats are addressed in the papers ’Optimizing UHD Production With Super Resolution Techniques’ by Xavier Ducloux, ’Using a Colour Appearance Model accounting for the human visual system for down-mapping Hybrid Log-Gamma (HLG) to Standard Dynamic Range (SDR)’ by Daniel-Dee Lofthouse-Smith and in the paper ’CNN ...
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Technical Papers
IBC2021 Tech Papers: Facial Recognition - Various facets of a powerful media tool
The subject of facial recognition is explored by Dominic Rüfenacht in his paper ’Customized Facial Expression Analysis in Video’ and by Yuka Kaburagi in the paper ’Face Detector: A Real-time Face Recognition System for Live Broadcasting’.
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Technical Papers
IBC2021 Tech Papers: 5G - Delivering on the Promise
The subject of 5G for media is explored by Assunta De Vita in her paper ’5G Broadcast and New Radio: perspectives for media delivery’, by Ben Bendre and Sharath Prasad in their paper ’Creating transformational media solutions using 5G edge computing’ and the topic is examined further in the supporting ...
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Technical Papers
TOWARDS 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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Technical Papers
Introduction 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 Papers
DEEP-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 Papers
SUSTAINABILITY: 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 Papers
A 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 Papers
IMPLEMENTATION 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 Papers
MEMAD 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 Papers
DATASET 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 Papers
THE 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 Papers
THE 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 Papers
MULTI-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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Technical Papers
AIDA: AI-POWERED MEDIA GENERATION
Technical paper: This paper explores novel opportunities that open up beyond cost and time savings in workflow automation.
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Technical Papers
Future MPEG standards VVC and EVC: 8K broadcast enabler
Technical Papers: This paper looks at future MPEG standards
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Technical Papers
A DIRECTOR’S DASHBOARD FOR MULTIPLE DRONES LIVE PRODUCTION
Technical paper: This paper explores the director’s dashboard, a Human-computer Interaction tool, developed for media crew.
