The emergence of the CMAF file format transformed OTT video delivery with its versatile, ISO BMFF-based architecture, surpassing rival formats in interoperability. Initially, CMAF was utilized for B2C packaging (end-users and players). However, with the advent of the live media ingest protocol, it is set to dominate the B2B video delivery scope. This protocol enables seamless video exchange between various video processing entities (encoders, packagers, CDN, cloud services) through synchronized data and metadata fragments from the original stream. The technology gains immense interest as it offers a modern alternative to the traditional TS format for first mile delivery. The paper covers the protocol’s key features, benefits, and implementation architecture.

In 2021 the Forum SBTVD accomplished the phase 2 of the TV3.0 project, comprised of a series of tests of the technologies proposed for this next generation of TVD system in Brazil. The tests were conducted by research groups of Brazilian universities. Particularly referring to the audio coding layer of the system, we carried out at the University of São Paulo 13 groups of tests, as prescribed in a public Call, and could assess the technologies capabilities and versatility in providing a series of new features for next generation of audio in the digital broadcasting system. This paper summarizes the main results of this testing and evaluation phase, and brings an overview of the stimulating new features that content producers and audience would have available to create and consume immersive and personalized services at home.

MPEG-H Audio enables highly efficient immersive audio transmission with advanced accessibility, interaction, personalization, and adaptation features. MPEG-H Audio utilizes audio objects and metadata to allow viewers to interact with content, creating a personalized listening experience. Broadcasters can enable or disable interactivity options and set limits for viewer interactions. This paper details Fraunhofer IIS’ proposal for TV 3.0 Project on new high-level immersive audio interactivity APIs for Ginga-NCL and Ginga CC WebServices. These APIs allow broadcasters to develop and deliver multimedia applications to control such advanced audio features, using their own visual identity, graphical design and even the multimodal interaction expected to be supported in TV 3.0. The paper also discusses the implications of audio stream metadata changes, which occurs when the content includes different audio scenes. The workhighlightsthat such API proposal for TV 3.0 is harmonized with current TV 2.5 specifications and, given the increasing number of TV 2.5 receivers supporting MPEG-H audio, these APIs could also be proposed for being included in current standards.

SBTVD Forum’s TV 3.0 Project aims to develop the next-generation broadcasting technologies for Brazil. Television has played a crucial social and cultural role in the country, and any technological evolution could lead to significant societal changes. Currently in Phase 3, the project carries out an R&D effort on application coding support, gathering 40 researchers from Academia. This paper focuses on the methodology, progress and early achievements of the Academia R&D team on addressing the high-priority application-coding requirements for TV 3.0. Focus groups and opinion polls have been contributing to social studies related to the application-based TV experience. The group proposes architectural changes, new user interfaces and a persistent media player for enhanced interactivity and full broadcaster control over all audiovisual content. Moreover, efforts are made to evaluate audio and video codecs, including the adopted MPEG-H audio technology, to identify the need for new APIs in a harmonized fashion with current SBTVD standards. The team also focuses on extensibility support and accessibility requirements, particularly on forwarding captioning and sign language to mobile devices. Work is in progress for sensory effects, immersive content, and multimodal interaction, utilizing the adopted NCL 4.0 and Guaraná proposals to enable advanced mulsemedia applications and 360° scenes. A demonstration of TV 3.0 use case prototypes will take place during SET Expo 2023 to showcase and discuss the progress and the findings of the Academia R&D team.

Recently, Artificial Intelligence (AI) technologies have been making their way into diverse fields of knowledge, significantly impacting many academic and business spheres. One of the applications that can benefit from AI is the inclusion of people with disabilities in audiovisual content, where the scalability of certain processes can bring new accessibility opportunities. In this work, we show what a basic workflow of an audio description for drama audiovisual content looks like, and from that, we propose a new workflow for generating audio descriptions for visually impaired people using synthetic voices created with AI models. The proposed workflow, besides allowing for the generation of audio on a larger scale compared to a traditional workflow, enables a greater coverage of the target audience by considerably reducing production time. It also allows multiple people to work on the same project without losing its sound identity, which is very important for the consumer of this type of service. With this proposal, we believe that accessibility on Brazilian television can be expanded and reach a much larger number of people.

In 2022, the famous and epic soap opera “Chocolate com Pimenta” in Brazil became a good surprise for TV Globo: the post-production chain accomplished a simple, productive, and economical workflow. A cloud based, remote and collaborative editing produced the entertainment content in an innovative way. Globo, a free-to-air television network, saw in this path an excellent opportunity to thrive technologically and to offer spectators a unique experience. Globo’s objective was to provide a special edition of the soap opera through Globoplay, an online video on demand platform, and by Open TV. Having the team in charge located at Post-Production Center of Estúdios Globo, the material was edited collaboratively in HD (XDCAM codec) directly connected to cloud. The process was successfully achieved and has helped to maintain Globo into the future of technological innovations.  And besides, the business model of this unique approach was very attractive for Globo, solving the market need for a cloud-native solution, notably when the Post-Production Center deals with big files and assets routinely, enabling the increase of the content production to a next level (cost benefit). Globo interprets this initiative not as a mere technological advance, but also as a step taken toward a more concrete operational level. Through all the effortful work, Globo, its customers, and everybody involved in this project could come together to cheer and look forward for a brand-new efficient future.

This work aims to present the advances and applications of Artificial Neural Networks (ANNs) using the Python programming language. ANNs have proven to be a powerful tool in the field of artificial intelligence, imitating the functioning of the human brain to solve complex problems and perform tasks that previously required extremely elaborate algorithms.
In addition, the importance of Python as one of the most popular and accessible languages for the development of neural networks will be emphasized. Through robust libraries, it is possible to create, train and evaluate neural networks efficiently and intuitively.