Abstract
This paper presents an interactive visual analysis tool created for studying collections of video data. Our driving application is cellular behavior studies that use microscopy imaging methods. The studies routinely generate large amounts of videos with various experimental conditions. It is very time-consuming for the scientists to watch each video and manually extract features-of-interest for further comparative and quantitative studies. We show that with our visualization tool, scientists are now able to conveniently observe, select and isolate, and compare and analyze the cellular behaviors from different perspectives within one framework. The tremendous time and effort saved allow scientist to focus on deriving the actual meaning behind certain observed behaviors.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781509021789 |
| DOIs | |
| State | Published - Aug 16 2016 |
| Event | 2nd IEEE International Conference on Multimedia Big Data, BigMM 2016 - Taipei, Taiwan, Province of China Duration: Apr 20 2016 → Apr 22 2016 |
Other
| Other | 2nd IEEE International Conference on Multimedia Big Data, BigMM 2016 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 4/20/16 → 4/22/16 |
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ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Media Technology
Cite this
An interactive visual analysis tool for cellular behavior studies using large collections of microscopy videos. / Wang, Chuan; Chou, Jia Kai; Ma, Kwan-Liu; Karsai, Arpad; Liu, Ying X.; Ogorodnik, Evgeny; Tran, Victoria; Liu, Gang-yu.
Proceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1-8 7544989.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An interactive visual analysis tool for cellular behavior studies using large collections of microscopy videos
AU - Wang, Chuan
AU - Chou, Jia Kai
AU - Ma, Kwan-Liu
AU - Karsai, Arpad
AU - Liu, Ying X.
AU - Ogorodnik, Evgeny
AU - Tran, Victoria
AU - Liu, Gang-yu
PY - 2016/8/16
Y1 - 2016/8/16
N2 - This paper presents an interactive visual analysis tool created for studying collections of video data. Our driving application is cellular behavior studies that use microscopy imaging methods. The studies routinely generate large amounts of videos with various experimental conditions. It is very time-consuming for the scientists to watch each video and manually extract features-of-interest for further comparative and quantitative studies. We show that with our visualization tool, scientists are now able to conveniently observe, select and isolate, and compare and analyze the cellular behaviors from different perspectives within one framework. The tremendous time and effort saved allow scientist to focus on deriving the actual meaning behind certain observed behaviors.
AB - This paper presents an interactive visual analysis tool created for studying collections of video data. Our driving application is cellular behavior studies that use microscopy imaging methods. The studies routinely generate large amounts of videos with various experimental conditions. It is very time-consuming for the scientists to watch each video and manually extract features-of-interest for further comparative and quantitative studies. We show that with our visualization tool, scientists are now able to conveniently observe, select and isolate, and compare and analyze the cellular behaviors from different perspectives within one framework. The tremendous time and effort saved allow scientist to focus on deriving the actual meaning behind certain observed behaviors.
UR - http://www.scopus.com/inward/record.url?scp=84987617411&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84987617411&partnerID=8YFLogxK
U2 - 10.1109/BigMM.2016.67
DO - 10.1109/BigMM.2016.67
M3 - Conference contribution
AN - SCOPUS:84987617411
SP - 1
EP - 8
BT - Proceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -