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Articles

Thought leadership articles by IABM and our members
Articles taken from IABM's journal and at show papers
To submit your article email marketing@theiabm.org

Tag: Closed captioning

Enhancing operational efficiencies for a leading Spanish media giant through AI-enabled multilingual translation, transcription, and closed captions

The explosion in OTT platforms has created new opportunities for traditional media companies to reach larger audiences worldwide. As a worldwide distributor of Spanish-language content, this organization is no exception – and the company now offers its programming on virtually every major OTT outlet.

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In Conversation with OOONA

In this IABM TV interview, Alex Yoffe (OOONA Tools Project Manager) discusses some of the recent projects they are working on, and their plans for the next 6-12 months.

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VoiceInteraction

Established in 2008, VoiceInteraction is now a global software company that provides speech processing-based solutions for the TV Broadcast Industry. Bringing speech knowledge to the center of our solutions has always been our vision and that allows us to be recognized as one of major world-wide providers in this field. With proprietary technology based on AI and Machine Learning, our expertise relies on Automatic Closed Captioning software for live shows, offline transcription and Compliance/Media Discovery Systems. Having our origins in the Academia, we strive for constant innovation: our time is spent researching and developing new and more effective ways of unveiling the underlying knowledge of media contents.

Enabling AI-powered Transcription, Closed Captioning, and Translation With Elevated Speed and Efficiency for a Leading Provider of Entertainment Content

Consumers’ insatiable and growing demand for streaming media on ever-greater numbers of OTT platforms offers fantastic opportunities, as well as daunting challenges, for content providers. The goal is to deliver high-value content tailored to the specific requirements of each platform, including multi-language transcriptions and compliant closed captions, and to do it as fast and efficiently as possible. Speed and efficiency are especially important in a news and entertainment environment, where every second counts in delivering breaking stories.

As one of the premier entertainment news sites with a focus on Hollywood, this Digital Nirvana client recently signed on as a short-form content provider for Quibi.

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Current Applications of Machine Learning and Artificial Intelligence in M&E

While the impact of ML and AI have been discussed and debated for years, practical applications are fast accelerating across the media supply chain. The pace of innovation is moving quickly and with the cloud wars in full force, there are new services becoming available all the time that offer novel ways to automate tasks with ML and AI. Already, the big three cloud providers — AWS, Azure, and Google — have rolled out powerful capabilities that help with essential tasks including captioning, transcription, and even object/facial recognition to bolster compliance edits and to augment metadata. For media organizations, the implications of these solutions are vast, and we’ve already begun to see their power.  With things moving so fast, though, it’s challenging to keep up and important to have the right architecture and structure in place to take advantage of these innovations.

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Mediaproxy Whitepaper: Take Control of OTT Monitoring

OTT has become increasingly popular with viewers and is an important form of distribution and revenue generation for broadcasters. As these trends continue, content owners and regulators alike are looking to apply the same standards for video, audio, and captioning to OTT as with traditional television.
For OTT services, broadcast engineers need to ensure compliance and quality of service for live content viewed on multiple devices that rely on multiple ABR formats each with several profiles. Keeping up with this complexity can be daunting, which is why having a unified system for monitoring compliance and identifying issues across all traditional and OTT playouts is critical…

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IBM and KTVA Case Study

Manual captioning is time-consuming and costly. KTVA needed to drive efficiency with an automated speech recognition solution that was easily trainable, used AI to learn words in context and continually improved over time.

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Post Deliverables, made simple and secure – Blog from Prime Focus Technologies

Post producers don’t have it easy. With an ever-increasing number of platforms for distribution and target languages to cater to, getting one’s content to the global market can be challenging to say the least. To top it all, given the current competitive landscape, producers are always under pressure to reduce costs and meet tight deadlines!

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BaM™ Product Highlight: IBM

PRODUCE BaM™ Award Finalist: IBM Watson Captioning Dramatically Scales Caption Generation

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VoiceInteraction at NAB 2018

IABM TV interview with João Paulo Neto (CEO, VoiceInteraction)

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