[FFmpeg-devel] Regarding GSoC 2020 project proposal

[YATENDRA SINGH]

Thank you for explaining the procedure.
I have posted my own project proposal on the page you had instructed me to.
Looking forward to the feedback.

Regards,
Yatendra Singh.

On Tue, Mar 3, 2020 at 10:19 PM Pedro Arthur <bygrandao at gmail.com> wrote:

> Hi
>
> Em ter., 3 de mar. de 2020 às 09:24, YATENDRA SINGH
> <yatendras at iitbhilai.ac.in> escreveu:
> >
> > Hi,
> > I am a third year CSE student at the Indian Institute of Technology
> Bhilai,
> > and would like to contribute to ffmpeg this year. I have
> > relevant experience with Machine Learning and would like to work on
> > improving the video frame interpolation already implemented. With such a
> > plethora of great Machine Learning Algorithms being published every year
> at
> > prestigious conferences I would aim to read the relevant academic papers
> > and implement the best suited technique for the task. For example, Depth
> > Aware Video Frame Interpolation (DAIN CVPR-2019) is supposedly the state
> of
> > the art method on Vimeo90k and MiddleBury
> > <https://paperswithcode.com/task/video-frame-interpolation> but at the
> same
> > time Frame Interpolation with Generative Adversarial Network(FIGAN), uses
> > not CNN but multi-scale synthesis( MS ) to get higher speeds.
> > Looking forward to hearing from you soon.
> >
> > Yatendra SIngh
> > Frame Interpolation with Multi-Scale Deep Loss Functions and Generative
> > Adversarial NetworksFrame Interpolation with Multi-Scale Deep Loss
> > Functions and Generative Adversarial NetworksFrame Interpolation with
> > Multi-Scale Deep Loss Functions and Generative Adversarial Networks
>
> I suppose this project is your own idea as it is not listed in the
> projects page, right?
>
> I think it would be good to add you idea under "Your Own Project Idea"
> section in [1] adding as much information as possible so that we can
> evaluate your idea and possible assign a mentor / backup mentor.
> A few things I think are important to evaluate your project are:
> *have a well defined "expected result", will it be a filter? or
> something else? we already have a dnn module and a dnn_processing
> filter, will your project be using it?
>
> *what is the amount of work that will be done during the project, more
> or less this is related to above "expected result"
>
> *define a qualification task, we can discuss it after the above is define
>
> *sell your idea (not strictly necessary but may help evaluating your
> project), why is it useful feature to have, what improvements it
> brings, etc
>
> [1] -
> https://trac.ffmpeg.org/wiki/SponsoringPrograms/GSoC/2020#YourOwnProjectIdea
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