ENG & DoD: Update On 2 GHz Sharing - $15
Date: April 14, 2023Topics: 2023 BEITC Proceedings, RF Technology and Spectrum IssuesBroadcasters’ spectrum is valuable. In the run-up to the AWS-3 auction, Congress, NAB, SBE, the Pentagon, NTIA, and the FCC reached a handshake agreement to share the band 2025–2110 MHz, provided broadcasters and the military could reach agreement on the technical details. As a result, nearly $45 billion was raised from auction of spectrum freed by military and other Federal users. In May 2022, DoD, NAB, and SBE concluded a memorandum of understanding (MOU) that allows routine military access for terrestrial and airborne systems at certain locations as well as procedures for coordinated access at other locations. Bench and field testing were conducted of compatibility between military and ENG systems to determine sharing parameters. Technical negotiations have set interference thresholds and coordination mechanisms. A web-based system for tracking military frequency coordination requests has been implemented. This paper summarizes the current state of ENG/Military spectrum sharing in this band.
Robert J. Russell | Technical Broadcast Solutions Inc. | Dover, Delaware, United States
Robert D. Weller | National Association of Broadcasters | Washington, District of Columbia, United States
Enhancing Fantasy League Engagement Through Efficient Hyper-Personalized Highlights - $15
Date: March 21, 2025Topics: 2025 BEITC Proceedings, AI Applications: Sports, Newsrooms and ArchivesHyper-personalization offers the fan the opportunity to view content tailored very specifically for them. That requires fine-grained information about the user and about the content, plus an architecture that brings those together and a suitable base platform that can enable such capabilities. In this paper, the key enablers of making hyper-personalization possible are outlined, including the architectural impact of direct-to-consumer streaming, AI highlights creation and personalization technology. Its use is illustrated by means of an example, using a fantasy team to create a specifically customized on-demand highlights package involving players in the fan’s teams in a scalable, cost-effective manner.
Tony Jones | MediaKind | Southampton, Hampshire, United Kingdom
Enhancing Instream Shoppable Brand and Product Detection in Broadcast, OTT, and VOD Content through Multi-Model Object Detection and Real-Time SCTE-35/SEI/VMAP Integration - $15
Date: March 21, 2025Topics: 2025 BEITC Proceedings, AI Applications: Captions, Content Detection and Advertising ManagementThe increasing adoption of shoppable video content in Broadcast, OTT, and VOD has transformed how consumers engage with digital media. Traditional advertising models struggle to create seamless, interactive, and real-time brand engagement, leading to a need for AI-driven solutions. Emerging technologies now enable real-time product detection, metadata embedding, and interactive instream commerce integration, making video content viewable and instantly shoppable. The paper introduces an AI-based platform that instantly detects brands and products in video streams before implementing metadata structures for interactive shopping platforms. By leveraging deep learning-based object detection models and metadata signaling protocols, the framework ensures synchronized, real-time engagement between consumers and brands, unlocking new monetization opportunities for advertisers.
Multiple AI detection engines under this framework based on YOLO, Mask R-CNN, ResNet, and MobileNet SSD precisely identify products and brand placements inside real-time and pre-recorded content. The detections from the system link up with SCTE-35 (live streams), SEI (compressed video streams), and VMAP (VOD-based ad scheduling), which enable precise frame-level interactivity for product engagement. Based on AI technology, the system allows moment-by-moment brand interactions and stream-based e-commerce capabilities, and advertisers can use it for content monetization. The framework enhances content creator and advertiser success while delivering improved consumer engagement since it automates product detection combined with advertisement synchronization features. This framework redefines media commerce by combining AI-based detection, metadata injection, and HTML-based interactivity, allowing for scalable, real-time, and seamless brand engagement in video content.
Chaitanya Mahanthi | Google, YouTube | New York, N.Y., United States
Enhancing Resilience: A Backup Communication System with Cyber Communications Integration for Broadcasters - $15
Date: March 21, 2025Topics: 2025 BEITC Proceedings, Resilience, Safety and Protection for Broadcast ServiceBroadcasting has long been a critical backbone for emergency communications, particularly during catastrophic events. However, increasing cyber threats against communication infrastructure necessitate a dual-resilient system that withstands both physical and digital disruptions. This paper introduces FM-Based Cyber Communications, a hybrid solution integrating FM radio infrastructure with advanced cybersecurity layers to create a fail-safe emergency broadcast network. By leveraging FM Radio Data System (RDS) technology, satellite uplinks, and air-gapped failover mechanisms, this system ensures encrypted, redundant, and uninterrupted information flow even when cellular networks, IP-based alerting protocols, and traditional Emergency Alert Systems (EAS) are compromised. Field testing under simulated disaster conditions demonstrates superior resilience, minimal transmission latency, and rapid failover capabilities, making FM-Based Cyber Communications an essential addition to next-generation emergency broadcasting infrastructure.
Matthew Straeb | Global Security Systems LLC | Sarasota, Fl., United States
Exploring the Creative Frontiers of AI for M&E Production and Distribution - $15
Date: April 26, 2020Topics: 2020 BEITC Proceedings, Artificial Intelligence Applications for Media ProductionIn recent years, Artificial Intelligence (AI) tools are beginning to revolutionize Media and Entertainment production and distribution industry. As with other industries, such as mobile, business, transportation, gaming, robotics, security, education.?Much like non-intelligent automation, artificial intelligence applications can be trained to perform human-like tasks. Some of the common skills currently imitated by AI include visual perception, speech recognition, decision-making, and adaptability
AI tools can be applied to perform tasks that were impossible to accomplish.?AI performs tasks faster and with greater precision than their experience human counterparts.?AI applications are beginning to augment the creative decision making skills of the production and distribution team, enabling energy, talent and enthusiasm to be focused on what only humans can do — at least for now.
During the M&E creative production process images, sound, and metadata are collected and stored, analyzed, identified and selected.?Recovery of content from the media libraries and archives is critical to the creative process.?This includes production generated multiple media formats of video, audio, graphics, and other types of data including text, scripts, and playlists.
It takes multiple tools to organize, collate and curate media and data from different formats and types. Metadata creation technologies help create the metadata necessary for content search and retrieval.?While several logging and recognition technologies can generate some metadata automatically, the results are often incomplete inaccurate and far from comprehensive.?
AI can be applied to myriad applications enhancing, accelerating and increasing the capacity of the media supply chain.?AI services such as transcription, language and dialect translation,?face and object recognition, social media sentiment analysis,?geolocation and fingerprinting are just a few examples.
Newly developed artificial intelligence for media asset management fuses the ability to understand all media and data types and perform discovery, synthesize and curate. ?
Across the media supply chain employing automated technologies that can create the metadata, then index and catalog it during the creation or acquisition process would help the creative process downstream.?There is a still a requirement for the creative team to identify relationships and the preferred clip selection.?It needs the legal team to add permissions, control access, contractual distribution and expiration criteria.?In news production, using machine-learning?techniques with pattern matching, additional content can be identified.?
This session will be rebroadcast on the?BEIT Express?channel?on May 15, 2020?at 12 a.m.?and 8?a.m.?EDT (UTC -4).
AI Closed Captioning by CaptionHub?
Gary Olson | GT Digital Ltd. | New York, NY, USA
