In many ways, 2020 has forced us to rethink norms we’d previously known to be true. But when it comes to video delivery, the primary concerns and demands from 2019 remain the same, if not elevated by the pandemic: bandwidth is still limited and consumer demand is still growing. And with people continuing to consume increased levels of content at home, the bandwidth challenge remains. As we look ahead to 2021, content distributors and video service providers must ask themselves: How do we deliver high-quality video at scale efficiently, while maintaining a high-quality user experience? The answer is a bit like 2020 – it’s complicated.

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In this presentation, we will look at how artificial intelligence can learn to produce highly accurate duration estimations, even for complex workflows. The presentation has a technical focus, starting from the initial collection of requirements and working through the modelling process and evaluation, before looking at how such a solution could be deployed. Finally, we’ll look at how such a solution could be integrated into workflows to automate decisions such as “red line” workflows, or pre-emptively scale systems for load.

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intoPIX creates and licenses innovative image processing & video compression technologies for Broadcast, Cinema & Pro-AV applications. It includes both IP-cores for FPGA & ASIC and accelerated SDKs for CPU and GPU. Amongst other technologies, intoPIX provides unique and powerful implementations of JPEG 2000, TICO (RDD35), TICO-XS (JPEG-XS), TICO RAW, encryption technologies, and video over IP with scalability including the support of resolutions from HD up to 4K, 8K with lossless / visually lossless quality and zero latency. Our technologies bring competitive advantages for manufacturers, content creators and broadcasters for capture (image sensors), live production (SMPTE 2022, SMPTE 2110), AV over IP, contribution, storage, editing, archiving and playback.