[FFmpeg-devel] Regarding GSoC 2020 project proposal

Pedro Arthur bygrandao at gmail.com
Tue Mar 3 18:49:30 EET 2020


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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