Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence |
| Editors | Edith Elkind |
| Pages | 7131-7134 |
| Number of pages | 4 |
| ISBN (electronic) | 9781956792034 |
| Publication status | Published - 2023 |
| Event | 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 - Macao, China Duration: 19 Aug 2023 → 25 Aug 2023 |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Volume | 2023-August |
| ISSN (Print) | 1045-0823 |
Abstract
We present a demonstration of nighttime light pattern (NTL) analysis system. Our tool named NightVIEW is powered by an efficient system architecture to easily export and analyse huge volume of spatial data (NTL), image segmentation and clustering algorithms to find unusual NTL patterns and identify hotspots of excess night light usage as well as finding semantics of cities.
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. ed. / Edith Elkind. 2023. p. 7131-7134 (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Understanding the Night-Sky?
T2 - 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
AU - Hederich, Jakob
AU - Ghosh, Shreya
AU - He, Zeyu
AU - Mitra, Prasenjit
N1 - Funding Information: This research was funded by the Federal Ministry of Education and Research (BMBF), Germany under the project Leib-nizKILabor with grant No. 01DD20003.
PY - 2023
Y1 - 2023
N2 - We present a demonstration of nighttime light pattern (NTL) analysis system. Our tool named NightVIEW is powered by an efficient system architecture to easily export and analyse huge volume of spatial data (NTL), image segmentation and clustering algorithms to find unusual NTL patterns and identify hotspots of excess night light usage as well as finding semantics of cities.
AB - We present a demonstration of nighttime light pattern (NTL) analysis system. Our tool named NightVIEW is powered by an efficient system architecture to easily export and analyse huge volume of spatial data (NTL), image segmentation and clustering algorithms to find unusual NTL patterns and identify hotspots of excess night light usage as well as finding semantics of cities.
UR - http://www.scopus.com/inward/record.url?scp=85170384185&partnerID=8YFLogxK
U2 - 10.24963/ijcai.2023/833
DO - 10.24963/ijcai.2023/833
M3 - Conference contribution
AN - SCOPUS:85170384185
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 7131
EP - 7134
BT - Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
A2 - Elkind, Edith
Y2 - 19 August 2023 through 25 August 2023
ER -