@article{seidl_automated_2015, title = {Automated classification of petroglyphs}, issn = {2212-0548}, url = {http://www.sciencedirect.com/science/article/pii/S2212054815000090}, doi = {10/gd6csz}, abstract = {Abstract In this paper, we address the problem of automated petroglyph classification in a large real-world dataset. The dataset which contains more than 1000 petroglyphs is based on tracings from the \{UNESCO\} world heritage site Valcamonica, Italy and is expert-classified into two parallel typologies. For automated classifications of petroglyphs we utilise a combination of existing shape descriptors and a recently developed graph-based petroglyph descriptor. We achieve good classification results. We evaluate how the results can be incorporated into the daily work of archaeologists. We demonstrate that our tools can clearly enhance the process of manual classification.}, number = {0}, journal = {Digital Applications in Archaeology and Cultural Heritage}, author = {Seidl, Markus and Wieser, Ewald and Alexander, Craig}, year = {2015}, note = {Projekt: PITOTI 3D}, keywords = {2015, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, peer-reviewed, visual computing}, pages = {--}, }