# Creating and then accessing sets of possible pixel sequences (Markov?)
**URL:** https://discourse.processing.org/t/creating-and-then-accessing-sets-of-possible-pixel-sequences-markov/24209
**Category:** Coding Questions
**Created:** [September 28, 2020, 11:16pm UTC](https://discourse.processing.org/t/creating-and-then-accessing-sets-of-possible-pixel-sequences-markov/24209 "2020-09-28T23:16:13Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@jl33](https://discourse.processing.org/u/jl33)
#### Post date: [September 28, 2020, 11:16pm UTC](https://discourse.processing.org/t/creating-and-then-accessing-sets-of-possible-pixel-sequences-markov/24209/1 "2020-09-28T23:16:13Z")
Keep thinking different ways to go about this but I don’t quite have the experience to fully wrap my head around.
I want to analyze an img to create (and then access/manipulate) basically a Markov model of the set of colors that can occur after each given color present in the source image. Anyone have any ideas for how to start? Thanks!!
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### Author:  [@paulgoux](https://discourse.processing.org/u/paulgoux)
#### Post date: [September 28, 2020, 11:58pm UTC](https://discourse.processing.org/t/creating-and-then-accessing-sets-of-possible-pixel-sequences-markov/24209/2 "2020-09-28T23:58:30Z")
for the theory
> **[Word2Vec Tutorial — The Skip-Gram Model](https://medium.com/nearist-ai/word2vec-tutorial-the-skip-gram-model-c7926e1fdc09)**
>
> This tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual…
> **[Introduction to Word Embedding and Word2Vec](https://towardsdatascience.com/introduction-to-word-embedding-and-word2vec-652d0c2060fa)**
>
> Word embedding is one of the most popular representation of document vocabulary. It is capable of capturing context of a word in a…
[ ](https://www.youtube.com/watch?v=eGFJ8vugIWA)