[FFmpeg-devel] Regarding GSoC 2020 project proposal

[Thilo Borgmann]

Hi,

Am 04.03.20 um 13:56 schrieb 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.

I moved that to the "Your own project idea" section.
I also added a 'proposed by:' field to it, please update that with your contact information (mail & IRC nickname, if you have both). Make it easy for potentially interested mentors to contact you.

You should also not wait for anyone contacting you about that matter. You can search through the relevant code in the FFmpeg codebase looking for authors of code related to your project. You might consider getting in touch with them asking for mentoring you during the summer. You can also do a query for mentors on IRC. Don't get spam-like though ;)

-Thilo



> 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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>>
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>> ffmpeg-devel-request at ffmpeg.org with subject "unsubscribe".
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