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The BrainCode project develops innovative compression techniques for extended reality data, focusing on energy efficiency and high-quality visual reconstruction. By leveraging machine learning and insights from neuroscience, it aims to create a semantic video compression algorithm that adapts to visual content, enhanci…
The BrainCode project proposes novel compression techniques for extended reality (XR) data which are energy efficient while ensuring a reconstruction quality that satisfies the human visual semantic perception.
There are several challenges concerning the complexity and the power consumption of the latest video compression standards which have not yet taken into account by the signal processing community.We propose that these challenges can be addressed by machine learning based architectures in…
FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS
IDRYMA TECHNOLOGIAS KAI EREVNAS
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United States, Menlo Park Ca
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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