Synchronized Multi-Stream Transport Using RIST - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, IP-based Video FacilitiesOverview of the upcoming RIST open Specification for synchronized multi-stream transport over IP, with actual field data from an implementation.
Ciro A. Noronha | Cobalt Digital Inc. | Champaign, Illinois, United States
Television Viewership Reimagined Through Generative AI - $15
Date: April 3, 2024Topics: 2024 BEITC Proceedings, Application of Large Language Model (LLM) in MediaThe word television viewership measurement, employing a variety of media metrics, has long been an established practice. It has evolved from methods like people meters to sweep surveys, marking substantial progress in media measurement technology. Nevertheless, the landscape of television and OTT (Over-the-Top) platforms has grown increasingly complex over the last decade. While traditional media measurement can address ‘what’ and ‘when’ questions, it falls short in answering ‘why’ inquiries. For example, it cannot explain why a show like ‘XYZ’ has experienced a consistent decline in TRP ratings in all target metropolitan markets over the past week.
Several intrinsic and extrinsic factors influence the success of a television show or consumer behavior. These factors may include, but are not limited to, the launch of a similar show on a competing network with a nearly identical storyline, the introduction of a popular reality show, live events, socio-economic conditions, sudden plot twists, social media sentiment, cyclical events like summer holidays or parliamentary elections, and more.
In this paper, we introduce a multi-dimensional Question-Answer (QnA) interface employing Retrieval Augmented Generation (RAG) and large language models (LLM), such as Anthropic Claude v2. The use of RAG in LLM-powered QnA bots is common practice to provide additional context and reduce hallucinations. We begin by defining a graph to query the show’s dependence on various factors and their relative significance. Each node within the graph represents a RAG source, providing contextual information about a specific show. When inquiring about the reasons behind a show’s poor TRP ratings based on viewership data, we gather contextual information from multiple sources, including social media, competitor data, machine learning-based content analysis, and socio-economic conditions. All this information is provided to the LLM as context, and it is tasked with reasoning. The LLM can then provide the most plausible reason or causality for the underperformance. Furthermore, we can engage in chain-of-thought questioning to delve deeper into follow-up inquiries.
Punyabrota D | AWS India | Mumbai, Maharashtra, India
Maheshwaran G | AWS India | Mumbai, Maharashtra, India
The 5G opportunities for contribution and Digital News Gathering applications - $15
Date: April 26, 2020Topics: 2020 BEITC Proceedings, Using 5G Technologies for Media ProductionThe paper will be focusing on detailing how 5G features can be implemented in such a way that significant value can be delivered for Contribution and Digital News Gathering (DNG) applications, including remote production capabilities. 5G is likely to be another transformative piece to consider in the context of the on-going industry migration toward IP (typically SMPTE 2110) and IT (COTS appliances).
Such applications, which mostly take place in the context of live events, are extremely demanding, not only considering the usual very high bandwidth and very low latency requirements but more generally from quality of service (including service continuity) and related operational costs standpoints: increase the former (QoS, continuity) while reducing the latter (costs). While those technical aspects are not new, as they have driven innovation for more than 20 years, the on-going migration of TV production infrastructures from specialized links and equipments toward IP (SMPTE 2110) and IT based ones (COTS appliances) is opening new opportunities which, jointly with what 5G features are bringing as well as considering cloud ones, will be significantly transformative for the Contribution & Digital News Gathering market segment. Additionnally, such an evolution will significantly reduce the barrier to entry for contribution and DNG applications not only at the benefit of TV production businesses but also at the benefit of local/regional content offerings, especially live coverage.
5G is enabling the following opportunities:
– Deployable ad hoc 5G networks:
– Wherever frequencies are available and can be allocated for such operations. Actually, on a regional basis, 5G frequencies will enable such ad-hoc operations, leading to limited stickiness to 5G telco operators from an ?air interface to point-of-presence? standpoint, while focusing on where telco operators bring the most valuable assets for such applications: reliable core network distribution.
– Whenever latency is a key element, telco core networks will enable dramatic latency improvement over conventional satellite contribution links.In-situ connectivy, connecting capture to remote production capabilities without the need for costly wired infrastructures which still may make sense for top events and regular/scheduled operations (e.g. league sports, permanently wired infrastructures) but not necessarily for event-based production wherever there is no permanently wired infrastructures. This is a significant barrier to entry for live programming, especially for regional/local TV broadasters/channels. 5G, with sllicing and QoS management capabilities is enabling cost-effective live production wherever there is poor pre-existing infrastructure.
– The capability, with 5G slicing, to combine content transport and processing through “Service Function Chaining”.Mathieu Lagrange | b<>com | Rennes, France
Philippe Lemonnier | b<>com | Rennes, France
Ludovic Noblet | b<>com | Rennes, France
The 99.99% Solution: Four-Nines Reliability from Cloud-Native Television Architectures - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, OTT 1: Emerging DevelopmentsThis presentation discusses the ability of 100% cloud-based architectures to deliver the 99.99% availability – even for live events – required by today’s demanding consumers.
Prabu Chellardurai | Firstlight Media | Toronto, Ontario, Canada
Jerald Mejarla | Firstlight Media | Toronto, Ontario, Canada
Juan Martin | Firstlight Media | Toronto, Ontario, Canada
The Coming Transformation of TV Newsrooms to Include ATSC 3.0 Emergency Alert and Information Distribution - $15
Date: April 26, 2020Topics: 2020 BEITC Proceedings, Advanced Emergency AlertingIn many parts of the world, governments play the primary role of providing alerts and information to the media. In the United States, the media — in the form of broadcast news departments ? plays the larger role of acquiring and curating information from the multitude of governmental and non-governmental sources.?
US News departments validate this information and present it to multiple platforms, including in most cases, digital platforms. There is no other contender for this role ? one would have to be built, and if it was doing only emergencies, the lack of constant use would likely put a largely unused and unrehearsed organization in a critical role at a critical time.
The new capabilities of ATSC 3.0 will enable TV newsrooms to more aggressively take the lead in being the live information dissemination source during local? emergencies.?
ATSC 3.0 will enable newsrooms to do the following:
? Transit video and rich media directly to mobile devices
? ?Wake up? a device when an emergency alert is carried
? Enable viewers to adjust which alerts wake up their devices
? Target emergency information to specific areas, and not others
? Target specific devices
? Stream live video and rich media (evacuation maps, instructions to devices
? Coordinate emergency information across all station channelsMichael E. Bouchard | ONE Media / a subsidiary of Sinclair Broadcast Group | Hunt Valley, MD, USA
