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Component-based Data Layout for Efficient Slicing of Very Large Multidimensional Volumetric Data

Jusub Kim, Joseph JaJa
2007 International Conference on Scientific and Statistical Database Management  
In this paper, we introduce a new efficient data layout scheme to efficiently handle out-of-core axisaligned slicing queries of very large multidimensional volumetric data.  ...  We show that the data layouts based on typical space-filling curves are not optimal for the out-of-core slicing queries and present a novel component-based data layout scheme for a specialized problem  ...  In this paper, we introduce a new efficient data layout scheme to efficiently handle out-of-core axis-aligned slicing queries of very large multidimensional rectilinear grids.  ... 
doi:10.1109/ssdbm.2007.7 dblp:conf/ssdbm/KimJ07 fatcat:dtgng3joqzf6zjnp5wpknlresu

Multi-dimensional transfer function design based on flexible dimension projection embedded in parallel coordinates

Hanqi Guo, He Xiao, Xiaoru Yuan
2011 2011 IEEE Pacific Visualization Symposium  
Our experiments show that the proposed method is effective for multidimensional TF design and data exploration.  ...  ABSTRACT In this paper, we present an effective transfer function (TF) design for multivariate volume, providing tightly coupled views of parallel coordinates plot (PCP), MDS-based dimension projection  ...  ACKNOWLEDGEMENTS The authors wish to thank the anonymous reviewers for their comments.  ... 
doi:10.1109/pacificvis.2011.5742368 dblp:conf/apvis/GuoXY11 fatcat:o3oro5diwfabnpas3o5w4qlzea

Hierarchical Indexing for Out-of-Core Access to Multi-Resolution Data [chapter]

Valerio Pascucci, Randall J. Frank
2003 Mathematics and Visualization  
For very large datasets this process must be performed out-of-core.  ...  A key component of these schemes has become the adaptive traversal of hierarchical data-structures to build, in real time, approximate representations of the input geometry for rendering.  ...  Introduction The real time processing of very large volumetric meshes introduces unique algorithmic challenges due to the impossibility of fitting the data in the main memory of a computer.  ... 
doi:10.1007/978-3-642-55787-3_14 fatcat:3vbgluxt4rdr3fdelfreqm3bhu

Multidimensional Transfer Functions for Volume Rendering [chapter]

JOE KNISS, GORDON KINDLMANN, CHARLES D. HANSEN
2005 Visualization Handbook  
Acknowledgments The authors would like to thank Al McPherson from the ACL at LANL for fruitful and provocative conversations about volumetric shadows.  ...  We would also like to thank NVIDIA, ATI and sgi for their making their latest generations of hardware available.  ...  One example of data that benefits from multidimensional transfer functions is volumetric color data. A number of volumetric color datasets are available, such as the Visible Human Project's RGB data.  ... 
doi:10.1016/b978-012387582-2/50011-3 fatcat:cqbyrflfqrhjdce245u2ilhike

A streaming narrow-band algorithm: interactive computation and visualization of level sets

A.E. Lefohn, J.M. Kniss, C.D. Hansen, R.T. Whitaker
2004 IEEE Transactions on Visualization and Computer Graphics  
The new algorithm packs the level-set isosurface data into 2D texture memory via a multidimensional virtual memory system.  ...  The proposed solution is based on a new, streaming implementation of the narrow-band algorithm.  ...  Steve Lamont and Gina Sosinsky at the National Center for Microscopy and Imaging Research at the University of California at San Diego provided the tomography data.  ... 
doi:10.1109/tvcg.2004.2 pmid:18579970 fatcat:s7hbd6g3qvgi7jyp5czr546wby

A streaming narrow-band algorithm

Aaron E. Lefohn, Joe M. Kniss, Charles D. Hansen, Ross T. Whitaker
2005 ACM SIGGRAPH 2005 Courses on - SIGGRAPH '05  
The new algorithm packs the level-set isosurface data into 2D texture memory via a multidimensional virtual memory system.  ...  The proposed solution is based on a new, streaming implementation of the narrow-band algorithm.  ...  Steve Lamont and Gina Sosinsky at the National Center for Microscopy and Imaging Research at the University of California at San Diego provided the tomography data.  ... 
doi:10.1145/1198555.1198796 dblp:conf/siggraph/LefohnKHW05 fatcat:kb5nji6nffbrrnjnp4a5jdscda

Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates

Hanqi Guo, He Xiao, Xiaoru Yuan
2012 IEEE Transactions on Visualization and Computer Graphics  
Our experiments show that the system is effective in multivariate volume data visualization and its performance is highly scalable for data sets with different sizes and number of variates.  ...  plots (PCP) and MDS-based dimension projection plots.  ...  The authors would also like to thank the institutes (UCAR, SDSC, and LCSE) which make the data available. This work is supported by National Natural Science Foundation of China Project  ... 
doi:10.1109/tvcg.2012.80 pmid:22411886 fatcat:2qyjjrtirvgz3aczxv3io3qvkq

Colliding galaxies, rotating neutron stars and merging black holes—visualizing high dimensional datasets on arbitrary meshes

Werner Benger
2008 New Journal of Physics  
Visualization of datasets stemming from diverse sources is challenged by the large variety of substantial differences in topology, geometry and nature of the associated data fields.  ...  We finally propose a data layout representing the mathematical concept of a 'field' generic enough to handle all cases involved.  ...  SPH dataset of the colliding galaxies; Dr Burkhard Zink, LSU, for providing the multipatch dataset of the neutron star; Dr Erik Schnetter, LSU, for providing the AMR dataset of the merging black holes  ... 
doi:10.1088/1367-2630/10/12/125004 fatcat:hoo3t54af5attotoly4tb47xkq

Information and Knowledge assisted analysis and Visualization of large-scale data

Chaoli Wang, Kwan-Liu Ma
2008 2008 Workshop on Ultrascale Visualization  
The ever-increasing sizes of data produced from a variety of scientific studies post a formidable challenge for the subsequent data analysis and visualization tasks.  ...  While steady advances in graphics hardware enable faster rendering, achieving interactive visualization of large data must also rely on effective data filtering and organization.  ...  Department of Energy through the SciDAC program with Agreement No. DE-FC02-06ER25777 and DE-FG02-08ER54956.  ... 
doi:10.1109/ultravis.2008.5154057 fatcat:ezo5zxlpsnhmbgj74nzrwdpwam

Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization

L. Linsen, T. Van Long, P. Rosenthal, S. Rosswog
2008 IEEE Transactions on Visualization and Computer Graphics  
The data sets are given in the form of unstructured point-based volume data. We directly extract our surfaces from such data without prior resampling or grid generation.  ...  layout.  ...  The multi-dimensional feature space of the data sets will be analyzed by applying automatic components coupled with intuitive interaction mechanisms operating on appropriate visualization layouts.  ... 
doi:10.1109/tvcg.2008.167 pmid:18989000 fatcat:a4llgjzqg5brja7sbvhvud6p4q

Multidimensional transfer functions for interactive volume rendering

J. Kniss, G. Kindlmann, C. Hansen
2002 IEEE Transactions on Visualization and Computer Graphics  
This paper demonstrates an important class of three-dimensional transfer functions for scalar data, and describes the application of multi-dimensional transfer functions to multivariate data.  ...  Though they have not received widespread attention, multi-dimensional transfer functions are a very effective way to extract materials and their boundaries for both scalar and multivariate data.  ...  These tools guide the user based on dataset specific information. We also present a number of methods for volume shading, including a novel technique for generating volumetric shadows.  ... 
doi:10.1109/tvcg.2002.1021579 fatcat:xt6m56oqwfbgbb64ixk4gfcism

Framework Technologies and Methods for Large Data Visualization [article]

W. T. Hewitt, Ian Curington
2000 Eurographics State of the Art Reports  
Joel Saltz University of Maryland College Park Computer Science Department Johns Hopkins Medical Institutions Pathology Department NPACI (presented at LDV'99)  ...  GDSII: Large, Deeply Hierarchical Structure GDSII: Large, Deeply Hierarchical Structure !!Defines Geometric Layout for Chip Defines Geometric Layout for ChipAdvanced Visual Systems, Inc.  ...  Streaming display yields Streaming display yields low memory profile for low memory profile for very large models very large models ! ! Application template Application template available available !  ... 
doi:10.2312/egt.20001030 fatcat:ahyje5jwprcfdg27wixjrfq6py

V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets

Hanchuan Peng, Zongcai Ruan, Fuhui Long, Julie H Simpson, Eugene W Myers
2010 Nature Biotechnology  
V3D streamlines the online analysis, measurement and proofreading of complicated image patterns by combining ergonomic functions for selecting a location in an image directly in 3D space and for displaying  ...  To demonstrate this extensibility, we built a V3D-based application, V3D-Neuron, to reconstruct complex 3D neuronal structures from high-resolution brain images.  ...  For very large images, for example, 8-16 gigabytes, or for an older machine, the interaction speed becomes an issue.  ... 
doi:10.1038/nbt.1612 pmid:20231818 pmcid:PMC2857929 fatcat:zs55yyivwjhqpf6ch5qi4it6yq

Immersive and Interactive Visualization of 3D Spatio-Temporal Data using a Space Time Hypercube [article]

Gwendal Fouché and Ferran Argelaguet and Emmanuel Faure and Charles Kervrann
2022 arXiv   pre-print
The analysis of multidimensional time-varying datasets, which size grows as recording and simulating techniques advance, faces challenges on the representation and visualization of dense data, as well  ...  First, we propose the Space-Time Hypercube (STH) as an abstraction for 3D temporal data, extended from the STC concept.  ...  Such operations can be very cumbersome on desktop applications due to the multidimensional nature of the data.  ... 
arXiv:2206.13213v1 fatcat:plir66q6sjgezi3yjib5gbmd2q

Interactive Visualization of Multi-Field Medical Data Using Linked Physical and Feature-Space Views [article]

Jorik Blaas, Charl P. Botha, Frits H. Post
2007 EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization  
It can show any number of views of the physical domain and also of the abstract high-dimensional feature space. The approach has been optimized for interactive use with very large datasets.  ...  In this paper, we present a highly interactive, coordinated view-based visualization approach that has been developed especially for dealing with multi-field medical data.  ...  In contrast to problems in information visualization, multi-field medical datasets might have a smaller number of features or variables per data point, but can be very large.  ... 
doi:10.2312/vissym/eurovis07/123-130 fatcat:piwxno6poza67l2zpiqweyi7bq
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