Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/DB6996CE-C724-4B6F-94FC-645EF0768387 | - |
| Identifier | https://doi.org/10.1145/2614106.2614157 | - |
| Language | en | - |
| Extent | 1 page | en |
| Title | High level saliency prediction for smart game balancing | en |
| Creator | Mania Aikaterini | en |
| Creator | Μανια Αικατερινη | el |
| Creator | George Alex Koulieris | en |
| Creator | George Drettakis | en |
| Creator | Douglas Cunningham | en |
| Publisher | Association for Computing Machinery | en |
| Content Summary | Predicting visual attention can significantly improve scene design, interactivity and rendering. For example, image synthesis can be accelerated by reducing computation on non-attended scene regions; attention can also be used to improve LOD. Most previous attention models are based on low-level image features, as it is computationally and conceptually challenging to take into account highlevel factors such as scene context, topology or task. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-02 | - |
| Date of Publication | 2014 | - |
| Bibliographic Citation | G.A. Koulieris, G. Drettakis, D. Cunningham, K. Mania ,High level saliency prediction for smart game balancing,"in 2014 ACM SIGGRAPH ,pp.73-73.doi:10.1145/2614106.2614157 | en |
Copyright © DIAS 2013
