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Different orders coexist (Michael Murtaugh + Nicolas Maleve) "Computational vandalism means working with this and other qualities of computing; the capacity for repetition, speed, interpretation by combination, the layering of operations and so on. In this sense, computational vandalism works with the aesthetic, social, material and imaginal forces that are gathered as compositional terms within computing." (Matthew Fuller in an interview with SICV, Vandalist Iconophilia http://editorialconcreta.org/Vandalist-Iconophilia) As the Scandinavian Institute for Computational Vandalism, Nicolas Malevé and Michael Murtaugh have developed a series of experiments in connection with the archives of the artists Erkki Kurenniemi, Asger Jorn and Guttom Guttorsgaard. Probing into large collections of digital and digitised collections, they employed Computer Vision algorithms as interlocutors, to explore alternative interpretations, different orderings and seeing through other eyes. The images started to masquerade as text, and texts start to behave as images. For DiVersions, Michael and Nicolas will turn the SICV toolkit onto the actual files and databases of the Cinquantenaire museum itself. Working on the archive as a whole, SICV will redraw relations and genealogies in the order(s) of art history. http://sicv.activearchives.org/logbook/
reference to the red green and blue channels. splitting image into colour channels in the development of the filters they have to pass a certain treshold, many images are not in not so many green objects, perceptually not so important as red & blue entered a series of problems: difference between encoded colour and perceived colour Nocilas studied Fine Arts, painting and also worked as a 'house-painter', painting walls :-) -> has a practice of making colors with pigments. confronted with a logic that is different, non-human, a 'machine gaze' they (not N and M) often claim terms that are anthropomorphic, like face detection, but there is a whole stack of techniques that involve the human
- face detection -hard cascade detection process trained on frontal faces 'false positives': does it see faces where there is no face? 'false negatives': does it miss out on faces?
-> relational data, eg chair depicting faces; the algorithm will not make distinction between real face and illustration of face
this collection plays a lot with forms, works well software developed historically humans are poor face recognisers. how do we judge the performance of the machine with our own defective apparatus? see faces where we don't see them, maybe an invitation for us? An invitation to rethink our understanding of what is a face.
-> create interfaces to see how face recognition works
(An invitation to rethink our understanding of what is a face language)
OCR = Optical Character Recognition (when you scan a book, it can detect from the image if there is text, and translate it to machine/human readable text)
there is always text in the material world
each layer comes with specific problems the algorithms perform better on languages which they have been trained it looks for texture of text, shapes of letters text is always material, text doesn't exist in air and the algorithms can help us to pay attention to the space in which text exists
collection of 1400 images we created random walks, and used them to generate videos starts with a random image, applies one of the SIFT features, then walks through the 'neighbourhood' of layers: colour, gradients etc. moves through the different orderings of the collection builds up all layers, picks one & moves to its neighbours you can get seduced by what it is doing this provided an exploration of the data set rediscovering through an algorithmic gaze
we are now busy with publication: applying random walk to pdf
the tyranny of the framework europeana: overwhelming scale
something for the workshop i have been working with makefiles it allows you to work with code and programs what we propose is, using techniques, create a website, that is based on a common framework using html, hyperlinks image maps putting pdfs or video in and working with code in a slightly different way look at selenium which scrapes sites (and, if wanted interactively) http://scraping.pro/selenium-ide-and-web-scraping/ image editing software like photoshop with greater scripting possibilities https://www.gimp.org/ that is what we are proposing depends on who is here begin a patchwork, with tools that are something inbetween??
look into images systematic background sustraction (void) to also look at the background of the objects to see how we can do the opposite like background injection or addition to enter into a dialogue with the subject
asger jorn: why do you need objects into a museum as 'mugshots' (why do they need to look like criminals)
James Bridle: Algorithmic Curators? Ordering by size, showing the object size. create catalogues of imaginary exhibitions? reorganise the storage space by size/weight Marie: example of library objects sorted by size: Set to human scale.
Tracing the single object to its physical location, through all the different forms of representation.