<Introduction to Information Visualisation. Images as data>
Invited speaker at Universität Siegen - Germany -
10-12/11/2017 BA-Media Studies -
Winter semester course - 3 days seminar.

Dataset to play with:
Plants, herbs, flower used as medicine, as drug, as poison.

Query design:
cerbera manghas cerberin - poppy opium - mandragora autumnalis alkaloids - lophophora williamsii mescaline - datura hyoscine - atropa belladonna alkaloids - conium maculatum coniine - foxgloves digitoxin - colchicum autumnale colchicine

Image deconstructions
-
images as pixels;
images as colour;
images metadata;
Image digital presence;
image visual description
-
A- Choose an image
B- Experiment with the tools
C- Find a good research question that can be answered with each tool used

TOOL USED: https://www.favicon-generator.org




UPSCALE
TOOL USED:
https://letsenhance.io/boost
*an online service driven by artificial intelligence which allows
improving images and zooming them without losing quality.
According to the developers, they used the super-resolution technology
of machine learning. The neural network, trained on a large base
of real photographs, learns to restore details and keep clear lines
and contours, relying on its knowledge of typical objects
and textures that exist in the real world

OPEN THE IMAGE WITH A TEXT EDIT AND MODIFY THE STRUCTURE

IMAGE METADATA

IMAGE DIGITAL PRESENCE
GOOGLE IMAGE REVERSE SEARCHING

IMAGE DESCRIPTION
TOOL USED:
https://imagga.com/auto-tagging-demo
MAKE YOUR COMPUTER READ THE IMAGE FOR YOU

2 exercise:

Visual models

-Image catalogue
-Photo merge

A- Choose a dataset
B- Experiment with different techniques of visualizations
C- Find a good research question that can be answered with each visualization technique

Image hibrids

“WhatWhoWhere”
Datura Google Research
Image digital remix, photocollage.
The same flower appearing in different images, for different contexts.


narrate with images a story