CDNI Metadata Model Extensions - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, OTT 2: Open Caching and the Network EdgeThis talk discusses the Open Caching configuration interface for CDNs, how the project was born, how it is moving through the SVA and IETF, and what it means for the industry.
Glenn Goldstein | Lumen Technologies | Broomfield, Colorado, United States
William Power | Lumen Technologies | Broomfield, Colorado, United States
Alfonso Siloniz | Telefónica | Madrid, Spain
Guillaume Bichot | Broadpeak | Cesson Sevigne, France
Changing the Landscape of FM Broadcast Antenna Technology - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, New Radio Transmission Technologies(Winner, 2022 BEIT Conference Proceedings Best Paper Award)
New technology for Broadband Radio Antennas
John L. Schadler | Dielectric LLC | Raymond, Maine, United States
CLEAR AI for Segmentation - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, Artificial Intelligence Applications for BroadcastCLEAR Vision Cloud’s Segmentation helps eliminate playout errors drastically and increases monetization by auto-generating frame-accurate segmentation metadata with close to 100% accuracy.
Harish Bharadwaj | Prime Focus Technologies | Bengaluru, Karnataka, India
Cloud Live Production: The New Resource Perspectives for Media Tech Broadcasters - A Case Study - $15
Date: October 9, 2021Topics: 2021 BEITC Proceedings, AI and Cloud Technologies for BroadcastingThis case study describes a disruptive pathway from on-premises baseband ecosystem to a cloud-based enviroment capable to quit traditional production resources like Obvans and Control Rooms.
Carlos Cesar Abrahão | Globo | Rio de Janeiro, Rio de Janeiro, Brazil
Cloud-Based Advanced Emergency Information (AEI) System for ATSC 3.0, MVPDs, and IP Delivery - $15
Date: March 21, 2025Topics: 2025 BEITC Proceedings, Making ATSC 3.0 Better than EverThis paper proposes a cloud-based Advanced Emergency Information (AEI) System designed to enhance public safety by seamlessly integrating alerts from the Integrated Public Alert and Warning System (IPAWS) with service operators. The AEI System captures emergency alerts in real time, processes them within the cloud, and enables synchronized delivery via ATSC 3.0 broadcast, MVPDs, and internet service operators. The proposed AEI System addresses key interoperability challenges across diverse broadcast and service platforms while ensuring efficiency and flexibility in alert dissemination. Built on a robust system architecture, it utilizes real-time alert processing workflows and advanced delivery mechanisms to improve the reliability of emergency communications. This paper examines these components in detail, highlighting the ability of the AEI System to ensure the widespread, synchronized distribution of critical emergency information to diverse audiences across ATSC 3.0 broadcast and modern communication networks.
Jason Kim | One Media Technologies | Hunt Valley, Md., United States
