Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | eCAADe 2022 - Co-creating the Future |
| Untertitel | Inclusion in and through Design |
| Herausgeber/-innen | Burak Pak, Gabriel Wurzer, Rudi Stouffs |
| Seiten | 567-574 |
| Seitenumfang | 8 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Veranstaltung | 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022 - Ghent, Belgien Dauer: 13 Sept. 2022 → 16 Sept. 2022 |
Publikationsreihe
| Name | Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe |
|---|---|
| Band | 2 |
| ISSN (Print) | 2684-1843 |
Abstract
This paper correlates two methods of aesthetic evaluation of architectural images utilising computer vision (CV) and machine learning (ML) for automating aesthetic evaluation: Calibrated aesthetic measure (CalAM) and aesthetic scoring model (ASM). From a database of images of proposals for a single location, users are invited to like or dislike it on social media to feed an ML model and calibrate an aesthetic measure formula (AMF). A possible application is to assist designers in making decisions according to the hedonic response given by users previously, enabling a faster way of popular participation.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Sozialwissenschaften (insg.)
- Ausbildung bzw. Denomination
- Ingenieurwesen (insg.)
- Architektur
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- BibTex
- RIS
eCAADe 2022 - Co-creating the Future: Inclusion in and through Design. Hrsg. / Burak Pak; Gabriel Wurzer; Rudi Stouffs. 2022. S. 567-574 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Band 2).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Computational Quantitative Aesthetics Evaluation
T2 - 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022
AU - Sardenberg, Victor
AU - Becker, Mirco
PY - 2022
Y1 - 2022
N2 - This paper correlates two methods of aesthetic evaluation of architectural images utilising computer vision (CV) and machine learning (ML) for automating aesthetic evaluation: Calibrated aesthetic measure (CalAM) and aesthetic scoring model (ASM). From a database of images of proposals for a single location, users are invited to like or dislike it on social media to feed an ML model and calibrate an aesthetic measure formula (AMF). A possible application is to assist designers in making decisions according to the hedonic response given by users previously, enabling a faster way of popular participation.
AB - This paper correlates two methods of aesthetic evaluation of architectural images utilising computer vision (CV) and machine learning (ML) for automating aesthetic evaluation: Calibrated aesthetic measure (CalAM) and aesthetic scoring model (ASM). From a database of images of proposals for a single location, users are invited to like or dislike it on social media to feed an ML model and calibrate an aesthetic measure formula (AMF). A possible application is to assist designers in making decisions according to the hedonic response given by users previously, enabling a faster way of popular participation.
KW - Aesthetic Measure
KW - Computer Vision
KW - Crowdsourcing
KW - Machine learning
KW - Quantitative Aesthetics
KW - Social Media
UR - http://www.scopus.com/inward/record.url?scp=85139246212&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85139246212
SN - 9789491207334
T3 - Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
SP - 567
EP - 574
BT - eCAADe 2022 - Co-creating the Future
A2 - Pak, Burak
A2 - Wurzer, Gabriel
A2 - Stouffs, Rudi
Y2 - 13 September 2022 through 16 September 2022
ER -