How to recompose the mood of one or more collections of videos

RQ: Which are the moods of the most-watched amazon fires related YT videos?

VISUALIZATION

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MONTAGE
GRID
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02 - GRID AMAZON FIRES

SET VIDEOS:

01 ENTENDA O DESMAMENTO | 02 AMAZON RAINFOREST ON FIRE | 03 AMAZON FOREST ODHYSCIENZE | 04 AMAZON FOREST FIRE WHAT IT TELL ABOUT DEFORESTATION | 05 DRONE FOOTAGE REVEALS AFTER MATH OF AMAZON FIRES | 06 INDIASECRETAMAZONFIRETAMIL | 07 AMAZONFORESTFIREODHIGYANSCIENCE | 08 WHAT IT TELLS US ABOUTDEFORESTATION

DURATION:

00:05:00

VIDEO OPACITY:

100%

STEPS
WHAT’S IT FOR
TOOLS
DETAILS AND MATERIALS
SCRAPING
DATA EXPLORATION
DATA PREPARATION
URLS CREATION
RENAMING THE NEW COLUMN
DOWNLOAD VIDEOS
CREATING A NEW PROJECT AND IMPORT ALL VIDEOS FOR EACH QUERY
CREATING THE MONTAGE
EXPORTING THE NEW VIDEO
GET A LIST OF VIDEOS FOR EACH CHOSEN QUERY AND SELECTED TIME-FRAME.
OPEN THE YOUTUBE DATA TOOL(YDT) CSV DOWNLOADED AND EXPLORE THE DATA.
FILTER THE LIST BY ORDER OF VIEWS TO TAKE THE FIRST 5 VIDEOS AS SAMPLES FOR EACH QUERY (AMAZON FIRES-PRAYFORAMAZONIA)
INSIDE THE YDT.CSV THERE IS ONLY THE VIDEOS ID, BUT YOU NEED THE URL TO DOWNLOAD THEM.
TO KEEP TRACK OF THE NEW COLUMN IN WHICH WE HAVE ALL THE VIDEO URLS.
DOWNLOAD THE VIDEO SAMPLE QUICKLY AND AUTOMATICALLY.
THIS STEP CAN BE REPLICATED USING ANY FREE VIDEO EDITING TOOL EVEN INCLUDED WITHIN THE OPERATING SYSTEM
YOU MUST SET THE OPACITY OF EACH VIDEO TO 40% IN ORDER TO HAVE THE OVERLAY EFFECT
EXPORT AS H264 WITH AUDIO INCLUDED TO PRESERVE THE SOUND COMPONENT
Youtube Data Tools ⟶ [Video List]
Excel ⟶ [Import Data]
Excel ⟶ [Filter-Discending]
Excel ⟶ =CONCATENA(E2;F2)
Excel
Python3 ⟶ [PyTube3]
Premiere ⟶ [Import]
Premiere ⟶ [Opacity: 40]
Premiere ⟶ [Export as H264]
“Amazon Fires” - “Pray for Amazonia”
videoIdvideoTitlepublishedAtviewCountposition

E2 ⟩ http://www.youtube.com/watch?v=

F2 ⟶ videoId

videoUrl

LINK TO PYTHON3 DOCUMENTATION

LINK TO PYTUBE3 DOCUMENTATION

LINK TO REPOSITORY AND STEP-BY-STEP GUIDE

LINK TO DOWNLOAD

METODOLOGY

aim

This type of analysis recomposes the more emotional aspect of the videos, combining dynamic images, voices and sounds. In this way it is possible to enjoy a summary story composed of several videos and to quickly compare the moods of videos belonging to different collections. The videos are superimposed with an opacity of 40% to allow all of them to be watched simultaneously. The audio of each video is also overlapped.

output

The final output is a montage of five videos that creates a new single video in which images and voices are mixed together with no hierarchy.