We are pleased to announce that CTO Yiannis Andreopoulos will be presenting at NVIDIA GTC Developer Conference at 8:00 am till 8:25 am on March 23rd 2023 on bridging the gap between “Codec” and “Avatar”. He will be discussing at length the neural avatar solutions currently needed to overcome these three challenges: reliability at scale, minimal or no offline data …
We are so proud to receive the Gold Video Processing award for BitClear, our denoising technology solution, in the Digital Media World Awards 2022. The products entered into the Digital Media World Awards this year are helping broadcasters, service providers, content producers and many other industry players adapt to the evolving content production and distribution landscape in impressive ways including …
We are absolutely delighted to have been awarded Gold Level in the Intel Network Builders Winners’ Circle. Intel® Network Builders program celebrate the Winners’ Circle Awards, dedicated to Intel partners who have demonstrated particularly outstanding innovations and business acumen. Winners’ Circle partners are placed in one of three categories: Titanium, Gold and Member. Each level is specially customized to highlight …
Video streaming now represents 80% or more of the traffic on the internet. According to a recent study by the Boston Consulting Group, the internet is responsible for around one billion tonnes of greenhouse gases a year. It is in everyone’s interests to make a meaningful reduction in these emissions. It is the mission of iSIZE to address this issue …
As part of our partnership with Intel, CTO Yiannis Andreopoulos recently gave a presentation at the ‘Innovator at the Edge’ tech talk on neural pre- and post-processing for #video delivery from and to edge devices. He discussed at length our core products BitSave – our AI pre-processing solution, and BitClear – our AI denoising solution, and how they optimize the …
iSIZE’s BitClear comprises AI technology for the denoising, and upscaling of video assets captured and transmitted in resource-constrained or adversarial environments. The aim of this innovation is the removal of: (i) encoding artifacts (blocking, blurring, ringing, aliasing, etc.); (ii) transmission impairments (e.g., artifacts from transport under adversarial wireless conditions or high-velocity UAVs); (iii) capture impairments (lens, camera flicker, vibrations, etc.). …
