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dc.contributor.authorCastro, M. Luz
dc.contributor.authorPérez, Rebeca
dc.contributor.authorSantos-del-Riego, Antonino
dc.contributor.authorCarballal, Adrián
dc.date.accessioned2017-09-15T07:56:30Z
dc.date.available2017-09-15T07:56:30Z
dc.date.issued2014
dc.identifier.citationCastro L, Pérez R, Santos A, Carballal A. Authorship ans aesthetics experiments: comparision of results between human and computational systems. En: Romero J, Correia J, eds. Evolutionary and biologically inspired music, sound, art and design, EvoMUSART 2014. Berlin: Springer; 2014. (Lecture Notes in Computer Science; 8601)es_ES
dc.identifier.issn0302-9743
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2183/19469
dc.description.abstract[Abstract] This paper presents the results of two experiments comparing the functioning of a computational system and a group of humans when performing tasks related to art and aesthetics. The first experiment consists of the identification of a painting, while the second one uses the Maitland Graves’s aesthetic appreciation test. The proposed system employs a series of metrics based on complexity estimators and low level features. These metrics feed a learning system using neural networks. The computational approach achieves similar results to those achieved by humans, thus suggesting that the system captures some of the artistic style and aesthetics features which are relevant to the experiments performed.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.urihttp://dx.doi.org/10.1007/978-3-662-44335-4_7es_ES
dc.rightsThe final publication is avaliable at Spirnger Linkes_ES
dc.titleAuthorship ans aesthetics experiments: comparision of results between human and computational systemses_ES
dc.typeinfo:eu-repo/semantics/contributionToPeriodicales_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleLecture Notes in Computer Sciencees_ES
UDC.volume8601es_ES
UDC.startPage74es_ES
UDC.endPage84es_ES


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