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Video compression using deep convolutional neural networks and autoencoders
I keep hearing about things like CNNs winning at image recognition contests etc. and for awhile have assumed that eventually a new video codec that involves distributing a deep network trained on many videos would achieve breakthrough compression results.
Hi there, 1st of all thanks for this awesome work !
Since we've 'doxed' it in our HyMPS project (under VIDEO section \ AI-based page \ Compression), can you please add a GH-compliant license file for it ?
As you know, expliciting licensing terms is extremely important to let anyone better/faster understand how to reuse/adapt/modify sources (and not only) in other open projects and vice-versa.
Although it may sounds like a minor aspect, license file omission obviously causes an inconsistent generation of the relative badge too:
(badge-generator URL: https://badgen.net/github/license/isseu/video-compression-dnn)
You can easily set a standardized one through the GH's license wizard tool.
Last but not least, let us know how we could improve - in your opinion - our categorizations and links to resources in order to favor collaboration between developers (and therefore evolution) of listed projects.
Hope that helps/inspires !
Can you provide any example videos?
can you provide some documentation?
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