ArtSight
| Autor: | Jurriaan Besenbruch, Gjorgji Strezoski, Marcel Worring, Inske Groenen |
|---|---|
| Přispěvatelé: | Intelligent Sensory Information Systems (IVI, FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Interface (Java) business.industry media_common.quotation_subject Palette (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Visualization 03 medical and health sciences Information visualization 0302 clinical medicine Human–computer interaction 020204 information systems 0202 electrical engineering electronic engineering information engineering Quality (business) Scale (map) business 030217 neurology & neurosurgery media_common ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | MM'18: proceedings of the 2018 ACM Multimedia Conference : October 22-26, 2018, Seoul, Republic of Korea, 1240-1241 STARTPAGE=1240;ENDPAGE=1241;TITLE=MM'18 ACM Multimedia |
| Popis: | This technical demo presents ArtSight, a comprehensive query-by-color explorative interface built on top of the large scale artistic dataset OmniArt. Color is of paramount importance in the artistic realm and querying such large data collections by colors that appear in their palette allows for intuitive exploration. This demo allows users to browse the 3 million artwork items in the OmniArt collection by color, and hierarchically filter each result-set by multiple attributes existing in the collection itself. Colors are extracted from the digital photographic reproductions in an unsupervised fashion in palettes of twelve and matched with their meta-data seamlessly to exploit both modalities in our filtering module. The user interaction quality is moderated by a responsive framework with touch capability and an unfoldable interactive 3D sphere visualization offering two exploration options - CompactExplore or GridExplore. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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