Reflecting on How Artworks Are Processed and Analyzed by Computer Vision: Supplementary Material

Sabine Lang, Bjorn Ommer; Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018, pp. 0-0

The intersection between computer vision and art history has resulted in new ways of seeing, engaging and analyzing digital images. Innovative methods and tools have assisted with the evaluation of large datasets, performing tasks such as classification, object detection, image description and style transfer or assisting with a form and content analysis. At this point, in order to progress, past works and established practices must be revisited and evaluated on the ground of their usability for art history. This paper provides a reflection from an art historical perspective to point to erroneous assumptions and where improvements are still needed.