Advanced Media Content

Most of tomorrow’s media formats tend to increase the sense of immersion into the content. Transforming the end-user/consumer’s experience by putting them into the middle of the action or information is the challenge, especially whenever narrative aspects are key.

Labo bcom - nouveaux contenus médias
© Fred Pieau
It’s being seen in all forms of media: Television, movies, games, advertising, training, collaborative work, monitoring, industrial signage, the Web, etc.

The Advanced Media Content lab is building tools that enable the creation, storage, transportation, and sharing both for and by as many people as possible. It delivers expertise and technologies related to innovative dimensions of images (resolution, depth, color, light, etc.), sound (spatialized), and new rendering devices (screen, projection, AR/VR head-mounted displays with 3 or 6 degrees of freedom, etc.). It develops tools and solutions aimed at enabling the adoption of these future formats by industry professionals, and ultimately by end consumers. Holography and compression systems are key areas of expertise for the laboratory.

Jean-Yves Aubié - bcom
© Fred Pieau

Jean-Yves Aubié

Advanced Media Content lab Manager

The challenges raised by new video and audio formats? Bringing even MORE realism and immersion to the experience, while still remaining easy to use and handle.
products & services
Adaptative HDR Converter - teaser produit - b<>com b<>com Sublima

Perform real-time HDR conversions without compromise on the artistic intent

Spatial audio family - spectateurs avec casque - bcom Spatial Audio family

A family of audio plug-ins for more immersion

expertise
holo-couv
holography

Holography is the ultimate 3D display technology, providing the most natural, comfortable and immersive visualization experience without causing eye strain.

scientific publications

07.11.2023

TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM

Most classical SLAM systems rely on the static scene assumption, which limits their applicability in real world scenarios. Recent SLAM frameworks have been proposed to simultaneously track the camera and moving objects. However they are often unable to estimate the canonical pose of the objects and exhibit a low object tracking accuracy. To solve this problem we propose TwistSLAM++, a semantic,…

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01.15.2024

Spatial Rate Allocation for Learning-based Video Coding

This paper presents a method that enables arbitrary end-to-end Learning-based image/video codecs to apply spatial rate allocation. At the frame-level, the forward pass of the underlying encoder network is followed by a latent refinement step, in which a customized loss function is minimized. This loss function takes as input an arbitrary pixel-wise map that defines the interest of each pixel and…

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07.21.2023

Open access dataset of holographic videos for codec analysis and machine learning applications

Despite the growing interest for Holography, there is a lack of publicly available three-dimensional hologram sequences for the evaluation of video codecs with inter-frame compression mechanisms such as motion estimation and compensation. In this paper, we report the first large-scale dataset containing 18 holographic videos computed with three different resolutions and pixel pitches. By…

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01.09.2024

GOP-BASED LATENT REFINEMENT FOR LEARNED VIDEO CODING

This paper presents a method allowing learned video encoders to apply arbitrary latent refinement strategies to serve as Rate-Distortion Optimization (RDO) at the time of encoding. To do so, a latent domain search is applied on an initial latent representation of the video signal. This search is implemented as a set of iterations, each of which performs a gradient descent with back-propagation of…

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  • 2019

    Product of the Year at the NAB Show in Las Vegas

  • 2017

    Technology Innovation Award at the NAB Show in Las Vegas