WIN (2013-2016): "Artistic and Artificial Seeing: Computer Vision and Art History in Methodical and Practical Cooperation"
(WIN (2013-2016): "Prototype of an Unrestricted Image Search of the Crucifixion"
Various tasks have proofed the efficiency of computer-based methods to detect objects or analyze form. However, art history is also interested in the content of an image, the use of symbols, allegories etc. In particular relations between formal and semantic similarities are of interest; to close the semantic gap between form and content is an important challenge for both subjects.
The group has addressed this issue and conducted research to study iconography. Because our interface allows to mark up to five image regions, it enables an iconographic analysis. Subject matters, such as the Crucifixion of Christ or the Last Judgement, require a certain presence and arrangement of figures; the interface allows to search for these predefined compositions. Thus, assisting art historians with fundamental iconographic research.
Click on the left images to get more information on our projects.
Lang, Sabine and Ommer, Björn (2018): Attesting Similarity: Supporting the Organization and Study of Art Image Collection with Computer Vision. Digital Scholarship in the Humanities. Oxford, Oxford University Press, 33:4, pp. 845-856.