RockViz is an exploration of 2000 rock album covers that have been classified as the 'most significant' by editors of the platform AllMusic
The music catalog of AllMusic is broadly organized by genres, subgenres, and styles. For each category, we can navigate through artists, albums, and songs highlights.
I collected data from Rovi, the data service behind AllMusic, specially on albums highlights.
My focus was mainly on Pop/Rock, but in order to have more data and see other influential genres I included Blues, Funk, Reggae and R&B.
Digital images displayed on digital devices are understood by a combination of values according to a color model. Two of the most used nowadays are RGB (Red Green Blue) and HSB (Hue Saturation Brightness).
A simple technique to summarize colors of an image is the pixelisation technique.
From left to right: original image, pixelated at 30, pixelated at 200:
What would it look like to pixelate the 2000 images? assuming we have created a montage according to hue and brightness values.
And now represented after a Cartesian 360 degree transformation:
I dynamically gathered images of albums covers from AllMusic, except in few cases whre no images were found.
The actual size of RockViz is 1994 albums covers and associated data: artist name, album title, and year. Of course, a more robust version should take into account other metadata: photographer, cover art, designer, etc.
For each image I measured chromatic features: median brightness, media saturaiton and median hue. Then, I produced different web-based visualizations of such data.
Montage of images
Images are arranged by hue and brightness values.
Plot of images
Images are plotted on two dimensions
'Years' on the X axis and 'median of hue values' on the Y axis.
Radial plot of images
Images are plotted around polar coordinates, based on hue and saturation
What if we produce different representations by modifying the fundamental formulae of polar equations?
r2 = x2 + y2 x = r cos(θ) y = r sin(θ)
Tetradic plot of images
Rose-infinite plot of images
Cosine plot of images variation 01
Cosine plot of images variation 02