Landesberger von Antburg, Tatiana ; Fellner, Dieter W. ; Ruddle, Roy A. (2016)
Visualization System Requirements for Data Processing Pipeline Design and Optimization.
In: IEEE Transactions on Visualization and Computer Graphics, 23 (8)
doi: 10.1109/TVCG.2016.2603178
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
The rising quantity and complexity of data creates a need to design and optimize data processing pipelines - the set of data processing steps, parameters and algorithms that perform operations on the data. Visualization can support this process but, although there are many examples of systems for visual parameter analysis, there remains a need to systematically assess users' requirements and match those requirements to exemplar visualization methods. This article presents a new characterization of the requirements for pipeline design and optimization. This characterization is based on both a review of the literature and first-hand assessment of eight application case studies. We also match these requirements with exemplar functionality provided by existing visualization tools. Thus, we provide end-users and visualization developers with a way of identifying functionality that addresses data processing problems in an application. We also identify seven future challenges for visualization research that are not met by the capabilities of today's systems.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Landesberger von Antburg, Tatiana ; Fellner, Dieter W. ; Ruddle, Roy A. |
| Art des Eintrags: | Bibliographie |
| Titel: | Visualization System Requirements for Data Processing Pipeline Design and Optimization |
| Sprache: | Englisch |
| Publikationsjahr: | 2016 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IEEE Transactions on Visualization and Computer Graphics |
| Jahrgang/Volume einer Zeitschrift: | 23 |
| (Heft-)Nummer: | 8 |
| DOI: | 10.1109/TVCG.2016.2603178 |
| Kurzbeschreibung (Abstract): | The rising quantity and complexity of data creates a need to design and optimize data processing pipelines - the set of data processing steps, parameters and algorithms that perform operations on the data. Visualization can support this process but, although there are many examples of systems for visual parameter analysis, there remains a need to systematically assess users' requirements and match those requirements to exemplar visualization methods. This article presents a new characterization of the requirements for pipeline design and optimization. This characterization is based on both a review of the literature and first-hand assessment of eight application case studies. We also match these requirements with exemplar functionality provided by existing visualization tools. Thus, we provide end-users and visualization developers with a way of identifying functionality that addresses data processing problems in an application. We also identify seven future challenges for visualization research that are not met by the capabilities of today's systems. |
| Freie Schlagworte: | Guiding Theme: Smart City, Guiding Theme: Visual Computing as a Service, Research Area: Human computer interaction (HCI), Research Area: Modeling (MOD), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Forschungsgruppe Visual Search and Analysis (VISA), Data processing, Data visualization, Requirements analysis, Optimization |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 03 Mai 2019 07:15 |
| Letzte Änderung: | 04 Feb 2022 12:39 |
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