EventsMOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Event submissions
Published
with-doi10.3390/mol2net-04-05504
This submission belongs to the session 04. AIMEDIC-06: AI, Med. Info., & Biomed. Eng. Congress, Coruña, Spain-Miami, USA, 2018. of the event MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Published date
11 Sep, 2018
Citation
Adrian Carballal, Nereida Rodriguez, Iria Santos, Luz Castro, Juan Romero, How to define the quality of images, in Proceedings of MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed., 15 January 2018–20 January 2019, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-04-05504
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How to define the quality of images

Adrian Carballal 1
Nereida Rodriguez 1
Iria Santos 1
Luz Castro 1
Juan Romero 1
1. University of A Coruña
Abstract

One of the main retoes in Artificial Intelligence is to do creative tasks such us creating music, art or novel ideas. But, even more "simple" task such us have aesthetic taste is very hard to a computer system. In this paper we will present some steps into the building of a system that learn to predict the aesthetic and quality value. We will also show preliminar results into a experiment where human evaluate different images based on its quality and aesthetic value. Finally we will show some of the posibilities of this tecnology.

Keywords
artificial intelligence
computer graphics
artificial art
artificial aesthetic
Manuscript
mol2net-04_MOL2NET-2018-template_J4.pdf
Poster
presentacion3_rnasa_2018_13.pdf
presentacion3_rnasa_2018_13.pdf
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