dc.contributor.author | Hurter, Christophe | en_US |
dc.contributor.editor | Ritschel, Tobias and Telea, Alexandru | en_US |
dc.date.accessioned | 2018-04-14T18:36:34Z | |
dc.date.available | 2018-04-14T18:36:34Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.uri | http://dx.doi.org/10.2312/egt.20181026 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egt20181026 | |
dc.description.abstract | While many data exploration techniques are based on automatic knowledge extraction, other tools exist where the user plays the central role. This tutorial will report actual use-cases where the user interactively explores datasets and extracts relevant information. These techniques must be interactive enough to insure flexibility data exploration, therefore image-based algorithms propose a suitable solution. These algorithms, processed in parallel by the graphic card, are fast and scalable enough to support interactive big data exploration requirements. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Human computer interaction (HCI) | |
dc.subject | Interaction techniques | |
dc.subject | Interactive systems and tools | |
dc.title | Image-Based Information Visualization Tutorial | en_US |
dc.description.seriesinformation | EG 2018 - Tutorials | |
dc.description.sectionheaders | Tutorials | |
dc.identifier.doi | 10.2312/egt.20181026 | |
dc.identifier.pages | 1-3 | |