Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/4626
Nаziv: | Computational Modeling of Affective Qualities of Abstract Paintings | Аutоri: | Sartori A. Ćulibrk, Dubravko Yan Y. Job R. Sebe N. |
Dаtum izdаvаnjа: | 1-јул-2016 | Čаsоpis: | IEEE Multimedia | Sažetak: | © 2016 IEEE. Modeling the emotional response of human observers to specific imagery is an important aspect of affective computing; it both furthers our understanding of the affective qualities of visual stimuli and paves the way for numerous applications. The emotional effect of colors and their combinations have been extensively studied by artists, as color is one of the essential means of conveying the artist's intention and affecting viewers emotionally. This is especially true in abstract art. In this study, the authors show how concepts from art theory can be used to design a computational model that lets a computer predict whether an abstract painting will elicit positive or negative emotions in the observer. Furthermore, their model can be used to generate abstract paintings that elicit intended emotional responses in observers. This article is part of a special issue on quality modeling. | URI: | https://open.uns.ac.rs/handle/123456789/4626 | ISSN: | 1070986X | DOI: | 10.1109/MMUL.2016.20 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
SCOPUSTM
Nаvоđеnjа
4
prоvеrеnо 06.05.2023.
Prеglеd/i stаnicа
29
Prоtеklа nеdеljа
0
0
Prоtеkli mеsеc
0
0
prоvеrеnо 15.03.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.