Unexpected Moscow Visitor: Difference between revisions

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[[File:Unexpected Moscow Visitor.jpg|thumb|Unexpected Moscow Visitor.]]'''''Unexpected Moscow Visitor''''' (Неожиданный визит в Москву; Neozhidannyy vizit v Moskvu) is a quantum composite dataset comprising two source images by illustrator and photographer [[GeteosX (nonfiction)|GeteosX]].
 
== Description ==
 
The dataset, when expressed as a two-dimension visual raster array, depicts an "unexpected visitor" to the city of Moscow. 
 
== History ==
 
The dataset was first detected by software developer and [[APTO]] graphic designer [[Karl Jones (nonfiction)|Karl Jones]] on Thursday, 3 December 2020.
 
Jones analyzed the [[GeteosX (nonfiction)|GeteosX]] source images using a standard set of [[high-energy literature]] calibration techniques, of which brute-force reverse steganochrony revealed the full visual raster array.
 
== Future developments ==
 
[[GeteosX (nonfiction)]]
 
== In the News ==
 
<gallery>
 
</gallery>
 
== Fiction cross-reference ==
 
* [[APTO]]
* [[Gnomon algorithm]]
* [[Gnomon Chronicles]]
 
== Nonfiction cross-reference ==
 
== External links ==
 
* [https://twitter.com/geteosx/status/1333795429276815369 #streetview #москва #Moscow] @ Twitter
* [https://twitter.com/geteosx/status/1333870029864103945 unexpected visit] @ Twitter
 
[[Category:Fiction (nonfiction)]]
[[Category:Moscow (nonfiction)]]
[[Category:Russia (nonfiction)]]
 
 
[[Category:APTO]]
[[Category:High-energy literature]]

Latest revision as of 18:09, 5 November 2021

Unexpected Moscow Visitor.

Unexpected Moscow Visitor (Неожиданный визит в Москву; Neozhidannyy vizit v Moskvu) is a quantum composite dataset comprising two source images by illustrator and photographer GeteosX.

Description

The dataset, when expressed as a two-dimension visual raster array, depicts an "unexpected visitor" to the city of Moscow.

History

The dataset was first detected by software developer and APTO graphic designer Karl Jones on Thursday, 3 December 2020.

Jones analyzed the GeteosX source images using a standard set of high-energy literature calibration techniques, of which brute-force reverse steganochrony revealed the full visual raster array.

Future developments

GeteosX (nonfiction)

In the News

Fiction cross-reference

Nonfiction cross-reference

External links