Algorithms of Vision. Human and machine learning in computational visual culture
PhD Thesis
Malevé, N. (2021). Algorithms of Vision. Human and machine learning in computational visual culture. PhD Thesis London South Bank University School of Arts and Creative Industries https://doi.org/10.18744/lsbu.93xz7
Authors | Malevé, N. |
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Type | PhD Thesis |
Abstract | Current computer vision algorithms largely depend on the availability of images labelled by human annotators at very high speed. The mode of production of these annotations strongly resonates with an early experiment conducted in 2007 at Caltech by Fei Fei Li, initiator of ImageNet, one of the most popular visual datasets. In a laboratory, the subjects were asked to describe photographs shown for a few milliseconds and to filter them through a taxonomy. The Caltech experiment is used, in the thesis, to engage with the photographic elaboration of computer vision: the model of vision, the photographic alignments and the micro-temporal rhythm that subtend the modes of production of labelled data and the labour behind it. |
Year | 2021 |
Publisher | London South Bank University |
Digital Object Identifier (DOI) | https://doi.org/10.18744/lsbu.93xz7 |
File | License File Access Level Open |
Publication dates | |
06 Jul 2021 | |
Publication process dates | |
Deposited | 28 Apr 2023 |
Additional information | This research programme was carried out in collaboration with The Photographers' Gallery |
https://openresearch.lsbu.ac.uk/item/93xz7
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algorithms-of-vision.pdf | ||
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License: CC BY 4.0 | ||
File access level: Open |
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