Samsung's new AI codec lets users stream 8K content over crappy networks

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By Matthew Griffin Intelligence and the Senses 21st December 2019

WHY THIS MATTERS IN BRIEF

As the resolution of content increases we need to find new ways to push it across crappy networks, and that’s where new codecs come in.

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It’s official, we’ve entered the era of 8K TVs. Around the world, sales of 8K displays are steadily increasing, and with TV manufacturers constantly adding more offerings to the mix, the 8K market is expected to continue to grow.

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There are, however, a few challenges that need to be addressed before viewers around the world will be able to enjoy 8K’s stunning visuals in their entirety. First, more 8K content will need to be produced, and second, network connections need to be made capable of supporting the seamless streaming of 8K movies and shows.

To address these issues, researchers from Samsung Research have developed an adaptive AI Codec known as AI ScaleNet. First introduced at SDC19 earlier this year this new codec could soon become your best friend as it works in the background to help deliver 8K content on networks that can typically only support only 4K speeds, and all without the need for additional infrastructure.

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AI ScaleNet works by using Artificial Intelligence (AI) deep learning technology to minimise data loss during compression and enable 8K content to be streamed on networks with lower bandwidth capabilities. In a nutshell it compressed 8K content to 4K quality using an AI downscaler that’s then transmitted to the user’s TV, which then itself utilises AI to upscale the content back to 8K quality.

When asked to describe the inspiration for the technology Kwangpyo Choi, who led the project, specified a need for a new video compression and transmission technology in order to accommodate the ever-evolving media landscape, and to address related technical challenges.

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“Multimedia content is rapidly moving online, so figuring out how to overcome bandwidth limitations for UHD content transmission has become a major task,” said Choi. “With AI ScaleNet, users will be able to enjoy 8K-quality content, even at lower bandwidths,” he added. “In fact, during periods of high network traffic, when speeds tend to drop, viewers can still expect content to be presented at a relatively higher quality.”

Choi and Park showing off their newest codec

AI ScaleNet addresses bandwidth limitations within modern network infrastructures with what’s known as an adaptive AI Codec.

“AI Adaptive Bit Rate Streaming refers to AI technology that adapts to various bandwidths and adjusts the resolution to enable seamless streaming,” said Choi.

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The difference the technology makes is especially clear when using over-the-top (OTT) services, where viewers typically notice changes in picture quality. As Choi explained, however, Samsung’s AI Codec and AI ScaleNet technology utilise AI that adapts to changes in bandwidth and optimizes quality, so users enjoy the highest-quality streaming experience possible. As the researchers described, the development process wasn’t without its difficulties.

“The most difficult part was ensuring compatibility with existing codec compression technologies,” said Choi. “How to design an easy-to-use algorithm that would be compatible with existing technologies, while delivering the intended performance at the same time was the question.”

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Choi also noted difficulties that derived from gaps in perspective between the research and development teams. There were several considerations related to complexity, design and structure which researchers took for granted, and were questioned by the developers.

“We were able to achieve this result thanks to the synergy of our team members who all worked closely to achieve the same goal, and colleagues who were focused on the technology’s commercialisation,” said Choi.

“I believe that AI ScaleNet is the first technology to overcome bandwidth limitations by addressing complexity issues and separating the server and client sides, respectively. It’s relatively difficult to commercialise AI technology today for the purpose of enhancing resolution, which is different from commercialising AI for recognition and classification.”

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When asked how AI technology will contribute to the advancement of TV technologies in general, the researchers pointed to two possible directions.

“The first would be greater user convenience, and the second would be enhanced picture quality,” Choi began. “The first point is already being delivered with Bixby, Samsung’s digital personal assistant, to enhance people’s viewing experiences, technologies that support the best possible picture quality at minimum bandwidth, such as AI ScaleNet, should be continuously researched and developed.”

As the researchers noted, Samsung has big plans for this versatile technology.

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“AI ScaleNet has shown us that by overcoming challenges, we can help usher in the future and enrich the user experience,” said Choi. “Going forward, we will continue to research and develop additional functionalities that add to users’ convenience, and through cooperation with content service providers, we hope to empower diverse services for Samsung devices.”

Matthew Griffin / About Author

Described by NASA as a "Walking Encyclopaedia of the Future" and one of the world’s most in demand keynote speakers Matthew Griffin, Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm, is a multi-award winning Futurist and strategic foresight expert, author, lecturer, mentor, podcast and YouTube host.

With a distinguished career running global business units at Atos, EMC, and IBM today Matthew helps leaders and titans of industry from all over the world explore the impact of the inter sections of technology, culture, and leadership, then helps them create high performance organisations that can continuously disrupt, outpace, and outthink their competition.

15 times author of the hit series the Codex of the Future series Matthew's ability to identify, track, and explain the impacts of hundreds of emerging technologies and trends on global business, culture, and society has earned him a powerful reputation and a roster of clients that include royal households, world leaders across the G7, G20, and G77, and many of the world's most recognised and exceptional organisations including ABB, Accenture, ABN Amro, Adidas, AON, ARM, BCG, Centrica, Citi Group, Coca Cola, Deloitte, Dentons, Disney, Dow, EY, Google, KPMG, Lego, Microsoft, Legal & General, LinkedIn, Nokia, Paramount, PepsiCo, PWC, Qualcomm, RWE, Samsung, T-Mobile, UBS, Visa, WIRED, WPP and hundreds of others.

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