application of commercial detection : mute the TV during ads.

[ghost]

Greetings,

I am curious if it is possible to use this project as a library for embedded projects such as arduino, etc. It would make an interesting project to create an "ad-blocker" spinoff for over the air TV. @vasanthkalingeri what are you thoughts for processing a live stream using this library? It would be non-trivial to issue IR "mute" and "un-mute" commands given active commercial detection.

Thanks, coast

[vasanthkalingeri]

Hi coast,

It can be used on low-level devices, it was tested with a Raspberry PI. It would require some work but it could be modified to process live streams with a 5-second delay(Dejavu requirements for a good fingerprint), I have not open-sourced the real-time version yet since there are still some bugs with FFmpeg transcoding.

[ghost]

this sounds very interesting, do you plan to free the code modified to process live streams?

[vasanthkalingeri]

Yes as soon as I get the transcoder working though :), currently, the code is able to process live streams(on a chunk by chunk basis), but I haven't written parts that can work directly with live stream files(like HLS), so I guess releasing my code now wouldn't be that useful.

[ghost]

Thanks for the update!

On Sat, Dec 9, 2017 at 5:58 AM, vasanth kalingeri notifications@github.com wrote:

Yes as soon as I get the transcoder working though :), currently, the code is able to process live streams(on a chunk by chunk basis), but I haven't written parts that can work directly with live stream files(like HLS), so I guess releasing my code now wouldn't be that useful.

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[YurieCo]

@vasanthkalingeri if u need contribute let me help by the way may I fork it or add ideas on test branch ?

[ghost]

Any thoughts with respect to this ML application towards live video streams?

[YurieCo]

@mancoast yes, it is recursive if we can auto detect ads then use this data to feed the algorithms which detects algorithms. kindly recursive (like Reinforcement learning0