Abstract
Recording and analyzing images taken over a long time period (e.g., several months) from a stationary camera could reveal various information regarding the recorded target. However, it is difficult to view such images in their entirety, because the speed at which the images are replayed must be sufficiently slow for the user to comprehend them, and thus it is difficult to obtain valuable information from the images quickly. To address this problem, we have developed a heatmap-based analyzing system. In this paper, we present an experiment conducted using our analyzing system to evaluate the system and identify user processes for analyzing images provided by a stationary camera. Our findings should provide guidance in designing interfaces for the visual analytics of long-term images from stationary cameras.
| Original language | English |
|---|---|
| Title of host publication | Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings |
| Publisher | Springer Verlag |
| Pages | 275-286 |
| Number of pages | 12 |
| Volume | 9734 |
| ISBN (Print) | 9783319403489 |
| DOIs | |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada Duration: 2016 Jul 17 → 2016 Jul 22 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9734 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 18th International Conference on Human-Computer Interaction, HCI International 2016 |
|---|---|
| Country | Canada |
| City | Toronto |
| Period | 16/7/17 → 16/7/22 |
Fingerprint
Keywords
- Big data management
- Data visualization
- Evaluating information
- Heatmap
- Information presentation
- Lifelog
- Surveillance system
- Visual analytics
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Evaluation of a system to analyze long-term images from a stationary camera. / Ishii, Akira; Abe, Tetsuya; Hakoda, Hiroyuki; Shizuki, Buntarou; Tanaka, Jiro.
Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings. Vol. 9734 Springer Verlag, 2016. p. 275-286 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9734).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evaluation of a system to analyze long-term images from a stationary camera
AU - Ishii, Akira
AU - Abe, Tetsuya
AU - Hakoda, Hiroyuki
AU - Shizuki, Buntarou
AU - Tanaka, Jiro
PY - 2016
Y1 - 2016
N2 - Recording and analyzing images taken over a long time period (e.g., several months) from a stationary camera could reveal various information regarding the recorded target. However, it is difficult to view such images in their entirety, because the speed at which the images are replayed must be sufficiently slow for the user to comprehend them, and thus it is difficult to obtain valuable information from the images quickly. To address this problem, we have developed a heatmap-based analyzing system. In this paper, we present an experiment conducted using our analyzing system to evaluate the system and identify user processes for analyzing images provided by a stationary camera. Our findings should provide guidance in designing interfaces for the visual analytics of long-term images from stationary cameras.
AB - Recording and analyzing images taken over a long time period (e.g., several months) from a stationary camera could reveal various information regarding the recorded target. However, it is difficult to view such images in their entirety, because the speed at which the images are replayed must be sufficiently slow for the user to comprehend them, and thus it is difficult to obtain valuable information from the images quickly. To address this problem, we have developed a heatmap-based analyzing system. In this paper, we present an experiment conducted using our analyzing system to evaluate the system and identify user processes for analyzing images provided by a stationary camera. Our findings should provide guidance in designing interfaces for the visual analytics of long-term images from stationary cameras.
KW - Big data management
KW - Data visualization
KW - Evaluating information
KW - Heatmap
KW - Information presentation
KW - Lifelog
KW - Surveillance system
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=84978796111&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978796111&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40349-6_26
DO - 10.1007/978-3-319-40349-6_26
M3 - Conference contribution
AN - SCOPUS:84978796111
SN - 9783319403489
VL - 9734
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 275
EP - 286
BT - Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings
PB - Springer Verlag
ER -