Szczegóły publikacji
Opis bibliograficzny
Variability in human image understanding – the scene stabilization experiment / Joanna Gancarczyk, Anna OLSZEWSKA // W: II national interdisciplinary scientific conference TechSpo'18 : power of algorithms [Dokument elektroniczny] : 20–21 September 2018, Krakow / AGH University of Science and Technology in Krakow. Faculty of Humanities. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, [2018]. — Dod. ISBN: 978-1-5386-8467-2. — e-ISBN: 978-1-5386-8466-5. — S. [1–5]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [4]
Autorzy (2)
- Gancarczyk Joanna
- AGHOlszewska Anna
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 119393 |
|---|---|
| Data dodania do BaDAP | 2019-02-04 |
| Tekst źródłowy | URL |
| DOI | 10.1109/TechSpo.2018.8584624 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | II national interdisciplinary scientific conference TechSpo'18 |
Abstract
The variability constraint is taken into account whenever we consider whether an image is a reliable source of information. Intra and inter rater - variability of image segmentation is being calculated against the machine algorithm performance. However, the variability rate itself has remained largely unexplored. We propose an experiment that allows us to get an insight into the dynamics of inter-rater variability of general scene recognition. We propose outcomes to be interpreted in terms of Hausdorff distance.
