Earlier this year, as demand for remote post-production grew, we focused on supporting a series of product updates to bring maximum performance to the platform. Extending to these, we’re excited to share our latest product update built for your specific needs.
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Andrew Holland (Editorial Data Lead, Meta) discusses the current landscape of Matadata Enrichment.
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This briefing analyzes high-level investment trends in content infrastructure and storage. The acceleration in media technology transitions such as the move to remote production models and the migration to cloud operating platforms is putting functions such as infrastructure and storage in the spotlight.
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We are joined by Anders Svensson, CTO at Agama Technologies to discuss what’s new including the 7.0 release Video Observability and Analytics.
We also discuss the importance of valuable data to companies and what information can be gathered, what can be done with it and how companies should react.
Anders also talks through some recent customer use cases.
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In this interview, Ryan Steelberg (President, Veritone) discusses the launch of MARVEL.ai, a complete end-to-end voice-as-a-service solution to create and monetize hyper-realistic synthetic voice content at commercial scale. Ryan explains how Veritone got into this area of synthetic voice and how synthetic media and synthetic voice changing the media landscape.
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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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