A complexity approach for identifying aesthetic composite landscapes
Use este enlace para citar
http://hdl.handle.net/2183/17501Coleccións
- INIBIC-RNASA-IMEDIR - Artigos [46]
- GI-RNASA - Artigos [195]
Metadatos
Mostrar o rexistro completo do ítemTítulo
A complexity approach for identifying aesthetic composite landscapesData
2014Cita bibliográfica
Carballal A, Pérez R, Santos A, Castro L. A complexity approach for identifying aesthetic composite landscapes. Lecture Notes Comput Sci. 2014;8601:50-61
Resumo
[Abstract] The present paper describes a series of features related to complexity which may allow to estimate the complexity of an image as a whole, of all the elements integrating it and of those which are its focus of attention. Using a neural network to create a classifier based on those features an accuracy over 85% in an aesthetic composition binary classification task is achieved. The obtained network seems to be useful for the purpose of assessing the Aesthetic Composition of landscapes. It could be used as part of a media device for facilitating the creation of images or videos with a more professional aesthetic composition.
Descrición
Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers
Versión do editor
Dereitos
The final publication is avaliable at Springer Link