This Wednesday, Neil speaks to Shengli Han - Vice Chairman of the Board at Beijing Jetsen Technology Co. and Advisor at Black Dragon Capital. Shengli has extensive experience in managing international companies within the broadcasting industry, building up teams and advising in landmark mergers and acquisitions. Shengli speaks on how he got started in broadcasting, how the Chinese broadcasting industry has recovered from COVID-19 and what he envisions for the future of our industry.
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Streaming high-resolution video typically comes with an inevitable trade-off between available bandwidth and quality of experience for the end user. Delivering uncompromising video quality typically requires excessively high bitrates, which can result in slow starts, video buffering and high content delivery network (CDN) and storage costs. As the percentage of IP traffic attributed to video increases (estimated to already surpass 82%), these problems are only exacerbated, driving greater urgency for new innovations to address these challenges.
Traditional solutions that attempt to minimize bandwidth without compromising quality are centered around the development of more intelligent video encoders; either by replacing rate control, quantization and prediction strategies within them, or the entirety of a standard video coding pipeline. The latter, however, is a particularly risky proposition for video encoding services, since it requires the creation of bespoke transport mechanisms and decoders across multiple client device types. Likewise, improvements generated by a standards-based codec remain severely constrained by its inherent compliance needs.
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Think of the last movie you streamed. There must have been clothing, an accessory, or a food product that you saw on screen and couldn’t resist the temptation of buying. For instance, the elegant gown that Emma Watson wears in the movie Little Women or the watches that Robert Downey flaunts on the screen.
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Quantiphi’s Video Similarity-powered solution offering enables Media, Sports and Gaming Enterprises to dramatically transform their content management, save on cloud expenses and automate content operations.
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Audiences today have an international content palette. The worldwide success of international titles like “Parasite” and Spanish shows like “Money Heist” only confirm that content now traverses global boundaries. As OTTs go global and studios and sporting leagues launch their own OTT platforms, the need for technology that localizes this volume of content will increase at an enormous scale. With timelines that can put distribution and post-production teams under undue pressures and stringent and diverse global distribution norms for content, this is perfect use case for Artificial Intelligence (AI).
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The science of artificial intelligence (AI) has become indispensable to the art of captioning. The rise of AI in captioning and transcription solutions can be attributed to many factors. However, the one that stands out is the rise of voice technology. Speech-to-text technology is the most rapidly emerging technology in the closed-captioning arena.
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Do you know that AI is the primary driving force behind captioning and transcription solutions? Media organizations leverage AI-driven solutions to elevate post-production workflows. A leading tennis broadcaster in America was grappling with an inefficient and time-consuming captioning process. They leveraged Digital Nirvana’s Trance captioning application and reduced turned around time from hours to 30 minutes. Trance has exceeded our client’s expectations in several unique ways. Learn more about how we’ve positively impacted this organization.
Digital Nirvana’s Trance brings the AI advantage to your transcription, captioning, and translation workflows.
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Content consumption has grown exponentially in the past year fueled by consumers’ insatiable demand. This resulted in the growth in the number of OTT platforms providing excellent opportunities as well as challenges, for content providers. Their 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. Our client, a leading entertainment short-form news provider, chose AI power of Trance to tackle these challenges. Trance empowered our client to generate captions within 90 minutes of asset ingest and deliver fully compliant content, conforming to exact style guideline requirements.
Digital Nirvana’s Trance brings the AI advantage to your transcription, captioning, and translation workflows.
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The rapidly developing FCC guidelines that went into effect in 2017 posed new challenges for our client, one of the largest sports and new networks in the U.S. The company needed a solution that would provide FCC caption compliance while also producing captions in the shortest time possible, regardless of volume. They leveraged Trance, Digital Nirvana’s AI-powered captioning and transcription solution to generate highly accurate captions within 12 hours of original airing.
Digital Nirvana’s Trance brings the AI advantage to your transcription, captioning, and translation workflows.
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Artificial intelligence (AI) is transforming from a competitive advantage to an essential technology in the media sector.
In this webinar, you’ll discover how AI and machine learning can drive profitable growth for your organisation beginning now. Learn how leaders across business functions use AI to:
- Engage customers
- Wrangle big data
- Improve efficiency
- Maximise video revenues
Brought to you by Symphony MediaAI, a technology company with 30 years of media experience and deep roots in AI innovation.
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