Abstract
A main bottleneck in integrating computational methods with visual analytics is their significant computational cost, which hinders real-time interactive visualization with them. To solve this, we present PIVE (Per-Iteration Visualization Environment), which visualizes intermediate results from algorithm iterations, thus allowing users to efficiently perform multiple interactions in real time.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings |
| Editors | Chris North, Min Chen, David Ebert |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 241-242 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781479962273 |
| DOIs | |
| Publication status | Published - 2015 Feb 13 |
| Externally published | Yes |
| Event | 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Paris, France Duration: 2014 Oct 9 → 2014 Oct 14 |
Publication series
| Name | 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings |
|---|
Conference
| Conference | 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 |
|---|---|
| Country | France |
| City | Paris |
| Period | 14/10/9 → 14/10/14 |
Fingerprint
Keywords
- clustering
- dimension reduction
- large-scale visualization
- multithreading
- Real-time interaction
- visual analytics
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Computer Science Applications
Cite this
PIVE : Per-Iteration visualization environment for supporting real-time interactions with computational methods. / Choo, Jaegul; Lee, Changhyun; Kim, Hannah; Lee, Hanseung; Reddy, Chandan K.; Drake, Barry L.; Park, Haesun.
2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings. ed. / Chris North; Min Chen; David Ebert. Institute of Electrical and Electronics Engineers Inc., 2015. p. 241-242 7042510 (2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - PIVE
T2 - Per-Iteration visualization environment for supporting real-time interactions with computational methods
AU - Choo, Jaegul
AU - Lee, Changhyun
AU - Kim, Hannah
AU - Lee, Hanseung
AU - Reddy, Chandan K.
AU - Drake, Barry L.
AU - Park, Haesun
PY - 2015/2/13
Y1 - 2015/2/13
N2 - A main bottleneck in integrating computational methods with visual analytics is their significant computational cost, which hinders real-time interactive visualization with them. To solve this, we present PIVE (Per-Iteration Visualization Environment), which visualizes intermediate results from algorithm iterations, thus allowing users to efficiently perform multiple interactions in real time.
AB - A main bottleneck in integrating computational methods with visual analytics is their significant computational cost, which hinders real-time interactive visualization with them. To solve this, we present PIVE (Per-Iteration Visualization Environment), which visualizes intermediate results from algorithm iterations, thus allowing users to efficiently perform multiple interactions in real time.
KW - clustering
KW - dimension reduction
KW - large-scale visualization
KW - multithreading
KW - Real-time interaction
KW - visual analytics
UR - http://www.scopus.com/inward/record.url?scp=84929493242&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929493242&partnerID=8YFLogxK
U2 - 10.1109/VAST.2014.7042510
DO - 10.1109/VAST.2014.7042510
M3 - Conference contribution
T3 - 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings
SP - 241
EP - 242
BT - 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings
A2 - North, Chris
A2 - Chen, Min
A2 - Ebert, David
PB - Institute of Electrical and Electronics Engineers Inc.
ER -