GMU:Computer's Cut/Sinan Kılıç: Difference between revisions

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For this video edit, I compiled audio and video material from various YouTube videos. The audio is composed of speeches of political figures from the US, Germany and Turkey; interviews with people such as skydivers, pilots BASE jumpers and street interviews etc. Using the 'find_word' python script, I searched for the words 'freedom', 'liberty', 'free' and the corresponding German and Turkish words in the .srt files of each video. I then compiled all of the videos into one file. To mix everything up a bit, I arranged them so that every subsequent clip is from a different video. Then I exported the resulting compilation as a .wav file.

The visual part of the video was created using a python object detection script. I downloaded videos of chicken farms, zoos, penguins, 'celebrity' eagles, wingsuit flyers, military parades, urban birds and other various material and ran the script, detecting and printing scenes with birds or planes in the frame. Finally, I merged these scenes into one video and combined this with the .wav file I made ~~before this~~.

The visual part of the video was created using a python object detection script. I downloaded videos of chicken farms, zoos, penguins, 'celebrity' eagles, wingsuit flyers, military parades, urban birds and other various material and ran the script, detecting and printing scenes with birds or planes in the frame. Finally, I merged these scenes into one video and combined this with the .wav file I made previously.

The videos I used to make this edit are here:

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 For this video edit, I compiled audio and video material from various YouTube videos. The audio is composed of speeches of political figures from the US, Germany and Turkey; interviews with people such as skydivers, pilots BASE jumpers and street interviews etc. Using the 'find_word' python script, I searched for the words 'freedom', 'liberty', 'free' and the corresponding German and Turkish words in the .srt files of each video. I then compiled all of the videos into one file. To mix everything up a bit, I arranged them so that every subsequent clip is from a different video. Then I exported the resulting compilation as a .wav file.
-The visual part of the video was created using a python object detection script. I downloaded videos of chicken farms, zoos, penguins, 'celebrity' eagles, wingsuit flyers, military parades, urban birds and other various material and ran the script, detecting and printing scenes with birds or planes in the frame. Finally, I merged these scenes into one video and combined this with the .wav file I made before this.
+The visual part of the video was created using a python object detection script. I downloaded videos of chicken farms, zoos, penguins, 'celebrity' eagles, wingsuit flyers, military parades, urban birds and other various material and ran the script, detecting and printing scenes with birds or planes in the frame. Finally, I merged these scenes into one video and combined this with the .wav file I made previously.
 The videos I used to make this edit are here: