Search Results for author: Jean Bégaint

Found 3 papers, 1 papers with code

End-to-end optimized image compression for multiple machine tasks

no code implementations6 Mar 2021 Lahiru D. Chamain, Fabien Racapé, Jean Bégaint, Akshay Pushparaja, Simon Feltman

An increasing share of captured images and videos are transmitted for storage and remote analysis by computer vision algorithms, rather than to be viewed by humans.

Image Classification Image Compression +3

End-to-end optimized image compression for machines, a study

no code implementations10 Nov 2020 Lahiru D. Chamain, Fabien Racapé, Jean Bégaint, Akshay Pushparaja, Simon Feltman

An increasing share of image and video content is analyzed by machines rather than viewed by humans, and therefore it becomes relevant to optimize codecs for such applications where the analysis is performed remotely.

Image Compression

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

3 code implementations5 Nov 2020 Jean Bégaint, Fabien Racapé, Simon Feltman, Akshay Pushparaja

This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs.

Image Compression MS-SSIM +2

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