Applying Computational Aesthetics to a Video Game Application Using Machine Learning
| Autor: | Ugur Halici, Ali Naci Erdem |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject Feature extraction 020207 software engineering 02 engineering and technology Computational aesthetics Machine learning computer.software_genre Computer Graphics and Computer-Aided Design Computer graphics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Artificial intelligence business computer Video game Software media_common |
| Zdroj: | IEEE Computer Graphics and Applications. 36:23-33 |
| ISSN: | 1558-1756 0272-1716 |
| DOI: | 10.1109/mcg.2016.43 |
| Popis: | The authors have developed a novel approach to evaluating the aesthetic quality of the camera direction in video game scenes rendered in real time while the game is being played. Their goal was to improve the visual aesthetic quality of computer-generated images using a computational aesthetics approach via a regression machine learning model. Considering the challenges and limitations involved, the proposed approach yielded promising prediction performance. The results show that near-real-time aesthetic analysis and visual improvement is possible using a virtual camera director. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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