QuadStack: An Efficient Representation and Direct Rendering of Layered Datasets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00343857" target="_blank" >RIV/68407700:21230/21:00343857 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TVCG.2020.2981565" target="_blank" >https://doi.org/10.1109/TVCG.2020.2981565</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TVCG.2020.2981565" target="_blank" >10.1109/TVCG.2020.2981565</a>
Alternative languages
Result language
angličtina
Original language name
QuadStack: An Efficient Representation and Direct Rendering of Layered Datasets
Original language description
We introduce QuadStack, a novel algorithm for volumetric data compression and direct rendering. Our algorithm exploits the data redundancy often found in layered datasets that are common in science and engineering fields such as geology, biology, mechanical engineering, medicine, etc. QuadStack first compresses the volumetric data into vertical stacks that are then compressed into a quadtree that identifies and represents the layered structures at the internal nodes. The associated data (color, material, density, etc.) and shape of these layer structures are decoupled and encoded independently, leading to high compression rates (4x to 45x) of the original voxel model memory footprint in our experiments). We also introduce an algorithm for value retrieving from the QuadStack representation and we show that the access has logarithmic complexity. Because of the fast access, QuadStack is suitable for efficient data representation and direct rendering and we show that our GPU implementation performs comparable in speed with the state-of-the-art algorithms (18-79 MRays/s in our implementation), while maintaining a significantly smaller memory footprint
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Visualization and Computer Graphics
ISSN
1077-2626
e-ISSN
1941-0506
Volume of the periodical
27
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
3733-3744
UT code for WoS article
000679532000010
EID of the result in the Scopus database
2-s2.0-85111772911