INCOVID
Financiado
Inpainting based Compression of Visual Data
Generating huge amounts of visual data, be it images or videos,
has never been easier than today. This creates a growing demand for
lossy codecs (coders and decoders) that produce visually convincing
results also for very high...
Generating huge amounts of visual data, be it images or videos,
has never been easier than today. This creates a growing demand for
lossy codecs (coders and decoders) that produce visually convincing
results also for very high compression rates. Popular transform-based
codecs such as JPEG and JPEG 2000 have reached a state where one cannot
expect significant improvements anymore. To go beyond their limitations,
fundamentally different ideas are needed.
Inpainting-based codecs can change this situation. They store only
a small, carefully optimised part of the data. In the decoding step,
the missing information is filled in with a suitable inpainting
mechanism. A successful realisation of inpainting-based codecs can
offer decisive advantages over transform-based codecs: The stored
information is more intuitive and closer to the mechanisms of human
perception. Moreover, the concept is very flexible: It allows to
integrate a number of different features and can be tailored towards
dedicated applications. Most importantly, the higher the compression
rate, the larger are the qualitative advantages over transform-based
codecs.
However, the potential of these codecs is widely unexplored so far,
since difficult fundamental problems must be solved first. This
includes optimisation of the data and the inpainting process,
sophisticated data coding, and the design of real-time capable
sequential and parallel numerical algorithms. We are committed
to addressing all these challenges in an integrated approach:
We cover the entire spectrum from its theoretical foundations over
benchmarking and highly efficient numerical algorithms to codecs
for specific applications, and a real-time 4K video player as
demonstrator.
This will lift inpainting methods from a visually pleasant image
editing tool to a fundamental paradigm in coding. Research results
that enter forthcoming coding standards will also have an impact
on everybody's daily life.
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Duración del proyecto: 60 meses
Fecha Inicio: 2017-09-08
Fecha Fin: 2022-09-30
Fecha Fin: 2022-09-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2022-09-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2016-ADG:
ERC Advanced Grant
Cerrada
hace 8 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
UNIVERSITAT DES SAARLANDES
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
177.81K€ |
Participante