“T-Map

Time-Varying Volume Data Mining Based on Topological Feature Analysis”

Rieko Otsuka, Issei Fujishiro, Shigeo Takahashi, Yuriko Takeshima

Research output: Contribution to journalArticle

Abstract

Volume visualization has served as an indispensable tool for peering into the inner structures of volumetric datasets. However, there exist a few reports on how to visualize effectively time-varying volume datasets, which arise frequently in a variety of numerical simulations and measurements. In this paper, the concept of volume data mining is extended to propose an environment, termed T-map, for visually exploring a large-scale time-varying volume dataset, where a pixel-oriented information visualization technique is employed so that the users are allowed to interactively specify partial spatiotemporal regions with characteristic change in topological structures prior to detailed and comprehensible volume visualization processes. A case study with a dataset from atomic collision research is performed to illustrate the feasibility of the present method.

Original languageEnglish
Pages (from-to)504-513
Number of pages10
JournalJournal of the Institute of Image Electronics Engineers of Japan
Volume31
Issue number4
DOIs
Publication statusPublished - 2002
Externally publishedYes

Fingerprint

Data mining
Visualization
Pixels
Computer simulation

Keywords

  • information visualization
  • time-varying data
  • topological analysis
  • volume data mining
  • Volume visualization

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

Cite this

“T-Map : Time-Varying Volume Data Mining Based on Topological Feature Analysis”. / Otsuka, Rieko; Fujishiro, Issei; Takahashi, Shigeo; Takeshima, Yuriko.

In: Journal of the Institute of Image Electronics Engineers of Japan, Vol. 31, No. 4, 2002, p. 504-513.

Research output: Contribution to journalArticle

@article{2814022488e446a4aa793464882c1ec4,
title = "“T-Map: Time-Varying Volume Data Mining Based on Topological Feature Analysis”",
abstract = "Volume visualization has served as an indispensable tool for peering into the inner structures of volumetric datasets. However, there exist a few reports on how to visualize effectively time-varying volume datasets, which arise frequently in a variety of numerical simulations and measurements. In this paper, the concept of volume data mining is extended to propose an environment, termed T-map, for visually exploring a large-scale time-varying volume dataset, where a pixel-oriented information visualization technique is employed so that the users are allowed to interactively specify partial spatiotemporal regions with characteristic change in topological structures prior to detailed and comprehensible volume visualization processes. A case study with a dataset from atomic collision research is performed to illustrate the feasibility of the present method.",
keywords = "information visualization, time-varying data, topological analysis, volume data mining, Volume visualization",
author = "Rieko Otsuka and Issei Fujishiro and Shigeo Takahashi and Yuriko Takeshima",
year = "2002",
doi = "10.11371/iieej.31.504",
language = "English",
volume = "31",
pages = "504--513",
journal = "Journal of the Institute of Image Electronics Engineers of Japan",
issn = "0285-9831",
publisher = "Institute of Image Electronics Engineers of Japan",
number = "4",

}

TY - JOUR

T1 - “T-Map

T2 - Time-Varying Volume Data Mining Based on Topological Feature Analysis”

AU - Otsuka, Rieko

AU - Fujishiro, Issei

AU - Takahashi, Shigeo

AU - Takeshima, Yuriko

PY - 2002

Y1 - 2002

N2 - Volume visualization has served as an indispensable tool for peering into the inner structures of volumetric datasets. However, there exist a few reports on how to visualize effectively time-varying volume datasets, which arise frequently in a variety of numerical simulations and measurements. In this paper, the concept of volume data mining is extended to propose an environment, termed T-map, for visually exploring a large-scale time-varying volume dataset, where a pixel-oriented information visualization technique is employed so that the users are allowed to interactively specify partial spatiotemporal regions with characteristic change in topological structures prior to detailed and comprehensible volume visualization processes. A case study with a dataset from atomic collision research is performed to illustrate the feasibility of the present method.

AB - Volume visualization has served as an indispensable tool for peering into the inner structures of volumetric datasets. However, there exist a few reports on how to visualize effectively time-varying volume datasets, which arise frequently in a variety of numerical simulations and measurements. In this paper, the concept of volume data mining is extended to propose an environment, termed T-map, for visually exploring a large-scale time-varying volume dataset, where a pixel-oriented information visualization technique is employed so that the users are allowed to interactively specify partial spatiotemporal regions with characteristic change in topological structures prior to detailed and comprehensible volume visualization processes. A case study with a dataset from atomic collision research is performed to illustrate the feasibility of the present method.

KW - information visualization

KW - time-varying data

KW - topological analysis

KW - volume data mining

KW - Volume visualization

UR - http://www.scopus.com/inward/record.url?scp=85024729891&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85024729891&partnerID=8YFLogxK

U2 - 10.11371/iieej.31.504

DO - 10.11371/iieej.31.504

M3 - Article

VL - 31

SP - 504

EP - 513

JO - Journal of the Institute of Image Electronics Engineers of Japan

JF - Journal of the Institute of Image Electronics Engineers of Japan

SN - 0285-9831

IS - 4

ER -