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DC Field | Value | Language |
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dc.citation.endPage | 2294 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 2285 | - |
dc.citation.title | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS | - |
dc.citation.volume | 18 | - |
dc.contributor.author | Hadwiger, Markus | - |
dc.contributor.author | Beyer, Johanna | - |
dc.contributor.author | Jeong, Won-Ki | - |
dc.contributor.author | Pfister, Hanspeter | - |
dc.date.accessioned | 2023-12-22T04:37:00Z | - |
dc.date.available | 2023-12-22T04:37:00Z | - |
dc.date.created | 2013-06-20 | - |
dc.date.issued | 2012-12 | - |
dc.description.abstract | This paper presents the first volume visualization system that scales to petascale volumes imaged as a continuous stream of high-resolution electron microscopy images. Our architecture scales to dense, anisotropic petascale volumes because it: (1) decouples construction of the 3D multi-resolution representation required for visualization from data acquisition, and (2) decouples sample access time during ray-casting from the size of the multi-resolution hierarchy. Our system is designed around a scalable multi-resolution virtual memory architecture that handles missing data naturally, does not pre-compute any 3D multi-resolution representation such as an octree, and can accept a constant stream of 2D image tiles from the microscopes. A novelty of our system design is that it is visualization-driven: we restrict most computations to the visible volume data. Leveraging the virtual memory architecture, missing data are detected during volume ray-casting as cache misses, which are propagated backwards for on-demand out-of-core processing. 3D blocks of volume data are only constructed from 2D microscope image tiles when they have actually been accessed during ray-casting. We extensively evaluate our system design choices with respect to scalability and performance, compare to previous best-of-breed systems, and illustrate the effectiveness of our system for real microscopy data from neuroscience. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.18, no.12, pp.2285 - 2294 | - |
dc.identifier.doi | 10.1109/TVCG.2012.240 | - |
dc.identifier.issn | 1077-2626 | - |
dc.identifier.scopusid | 2-s2.0-84867678132 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/3401 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84867678132 | - |
dc.identifier.wosid | 000310143100032 | - |
dc.language | 영어 | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Interactive Volume Exploration of Petascale Microscopy Data Streams Using a Visualization-Driven Virtual Memory Approach | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Petascale volume exploration | - |
dc.subject.keywordAuthor | high-resolution microscopy | - |
dc.subject.keywordAuthor | high-throughput imaging | - |
dc.subject.keywordAuthor | neuroscience | - |
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