Addressable TV Over ATSC 3.0: A Dream Come True! - $15
Date: April 26, 2020Topics: 2020 BEITC Proceedings, Advanced Advertising TechnologiesWhile broadcasters are facing an increase in digital advertising, whose investments have surpassed those of TV advertising since 2017, TV remains the most powerful medium for brands. It is the only media able to reach millions of people simultaneously. Whether in short or long term, it generates the most profit at the greatest cost-efficiency with the lowest risk. All major advertising effectiveness studies, including those commissioned by competing media, agrees that TV outperforms all others. Before ATSC 3.0, Addressable TV was only possible on cable; now with Next Gen TV technology, it?s possible on Free-To-Air (FTA) TV.
This paper will introduce fundamentals about ATSC 3.0 and highlight how broadcasters can enable targeted advertising and seamlessly address their linear FTA TV Video with their favorite Digital Ad Server, like in the digital world. With broadband connection, the broadcasters will be able to personalize advertisements and monitor audience and visibility in real time. Finally, we will show the new business opportunities for broadcasters thanks to Next Gen TV technology: A dream come true!
This session will be rebroadcast on the?BEIT Express?channel?on May 13, 2020?at 10:45?p.m.?and May 14, 2020 at 6:45?a.m.?EDT (UTC -4).
Fayssal Kartobi | ENENSYS Technologies | Cesson S?vign?, France
Adopting New Cloud Workflows and Making Live Happen in this New Normal - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, Remote and Work-from-Home OperationsThe pandemic forced producers to think differently about content. We’ll talk about the lessons learned as broadcasters had to pivot and adopt more REMI models into their workflow.
Daniel Pisarski | LiveU Inc. | Hackensack, New Jersey, United States
Advanced FM HD Radio™ Service Modes WTLP Field Test Results - $15
Date: April 14, 2023Topics: 2023 BEITC Proceedings, Innovaton in RadioXperi has developed a new set of Advanced FM service modes in response to emerging market demands and opportunities. These new service modes offer broadcasters the ability to significantly enhance their digital capacity using both hybrid and all-digital waveforms. Some of these advanced service modes are backward compatible with existing service modes, and some are not. This presentation will review the results of recent field trials using Hubbard station WTLP in Braddock Heights, MD. Specifically, it will compare performance of the new signals with their legacy counterparts, highlighting the critical tradeoff of robustness for capacity. These test results demonstrate the ability of HD Radio broadcast technology to reliably deliver higher-throughput digital information over much of the existing coverage area.
Paul Peyla | Xperi, Inc. | Columbia, Maryland, United States
Dave Kolesar | Hubbard Broadcasting, Inc. | Washington, District of Columbia, United States
Advanced News Workflows - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, Broadcast WorkflowsThis paper outlines advanced news workflows to provide real time access to media from field cameras as well as automating the inclusion of supporting metadata from the newsroom computer system.
Ernie Ensign | Sinclair Broadcast Group | Hunt Valley, Maryland, United States
Advanced Security Using a NoCode Media Integration Platform - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, Cybersecurity in Broadcast FacilitiesA NoCode Media integration platform democratizes the content supply chain deployments and business improvements to people that are not technical. How it can help to eliminate all the security risks?
Julián Fernandez-Campón | Tedial | Málaga, Spain
AI Innovations in Testing and Monitoring: How Machine Learning is Transforming Testing and Monitoring On Real Devices - $15
Date: April 3, 2024Topics: 2024 BEITC Proceedings, Digital Online OperationsArtificial intelligence (AI) has emerged as a pivotal tool for video service providers in ensuring an exceptional quality of experience (QoE) for their end-users. Machine learning (ML) neural networks currently enable content providers to enhance encoding and compression for video-on-demand (VOD) assets. However, evaluating live and linear content remains challenging without a reference stream. This paper explores an innovative methodology to assess video quality from the user’s perspective on physical devices. This approach mirrors human interaction through AI and computer vision to detect defects. Extensive testing of third-party applications using this technique can increase customer retention for video services. With rapid advancements, AI has the potential to transform video quality assurance.
Yoann Hinard | Witbe | New York, N.Y., United States
