GMU:Computer's Cut/Moritz Lang: Difference between revisions

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== '''Final Work:''' ==
<iframe width="560" height="315" src="https://www.youtube.com/embed/OlibVHyFpcc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
Here I remixed a dialogue, with the help of the find_word tool.
I was looking for words by the protagonist within the movie "Meet Dave"
that could fit and being used to replace one person of the dialogue from the short movie "Kernseif".
I collected and sorted the snippets within the .srt and added them to the .xml/.mlt. After I have molten the movies together I polished them in shotcut.


== '''Detecting for words within the subtitledata:''' ==
== '''Detecting for words within the subtitledata:''' ==

Revision as of 22:15, 5 March 2022

Final Work:

<iframe width="560" height="315" src="https://www.youtube.com/embed/OlibVHyFpcc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Here I remixed a dialogue, with the help of the find_word tool. I was looking for words by the protagonist within the movie "Meet Dave" that could fit and being used to replace one person of the dialogue from the short movie "Kernseif". I collected and sorted the snippets within the .srt and added them to the .xml/.mlt. After I have molten the movies together I polished them in shotcut.


Detecting for words within the subtitledata:




Detecting and resorting tones with pd and cuttlefish:



Detecting objects by a opencv pythonscript:

<iframe width="560" height="315" src="https://www.youtube.com/embed/vPXHx1mKETQ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>