Szczegóły publikacji
Opis bibliograficzny
Digital humanities using content-based image retrieval: the visula studies toolkit / Anna OLSZEWSKA, Joanna Gancarczyk // W: BESC 2017 [Dokument elektroniczny] : proceedings of 4th International Conference on Behavioral, Economic, and Socio-cultural Computing : Krakow, Poland, 16–18 October 2017 / eds. Yves Demazeau, [et al.]. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2017. — e-ISBN: 978-1-5386-2366-4. — S. [1–3]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [3], Abstr.
Autorzy (2)
- AGHOlszewska Anna
- Gancarczyk Joanna
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 111927 |
|---|---|
| Data dodania do BaDAP | 2018-01-30 |
| Tekst źródłowy | URL |
| DOI | 10.1109/BESC.2017.8256409 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | 4th International Conference on Behavioral, Economic, and Socio-cultural Computing |
Abstract
In this demonstration we present two examples of ready-to-use, non-semantic, visual search filters that can be applied both for managing and analysing large image databases, in the context of digital humanities. We describe formal determinants of each filtering procedure, method, relevance and limitations of the tools. Aims: to promote non-semantic approach towards image management and analysis, to translate art historical formal analysis elements into a set of methods, that would form a visual culture studies toolbox.
