An immersive video experience with real-time view synthesis leveraging the upcoming MPEG-I distribution format

Synergies between in-loop and out-of-loop mapping for HDR-PQ content

RESEARCH PAPER / Mar 2022 / HDR, Video Coding

This paper presents experimentation results related to adaptive video content mapping used as compression tool of HDR-PQ content. The purpose of adaptive video content mapping is to adapt the video signal dynamically depending on its statistical properties in order to better exploit the signal codewords range. Adaptive video content mapping...

Data-Driven Low-Rank Neural Network Compression

RESEARCH PAPER / Sep 2021 / Video coding, Compression, Machine learning/ Deep learning /Artificial Intelligence Neural network

Despite many modern applications of Deep Neural Networks (DNNs), the large number of parameters in the hidden layers makes them unattractive for deployment on devices with storage capacity constraints. In this paper we propose a Data-Driven Low-rank (DDLR) method to reduce the number of parameters of pretrained DNNs and expedite...

Compact and Adaptive Multiplane Images for View Synthesis

RESEARCH PAPER / Sep 2021 / Video coding, Machine learning/ Deep learning /Artificial Intelligence, Image processing, Computer Graphics

Recently, learning methods have been designed to create Multiplane Images (MPIs) for view synthesis. While MPIs are extremely powerful and facilitate high quality renderings, a great amount of memory is required, making them impractical for many applications. In this paper, we propose a learning method that optimizes the available memory...

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