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From pixels to sentiment: fine-tuning CNNs for visual sentiment prediction

Autor
Campos, V.; Jou, B.; Giro, X.
Tipus d'activitat
Article en revista
Revista
Image and vision computing
Data de publicació
2017-02-05
Volum
65
Pàgina inicial
15
Pàgina final
22
DOI
https://doi.org/10.1016/j.imavis.2017.01.011 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/102593 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0262885617300355 Obrir en finestra nova
Resum
Visual multimedia have become an inseparable part of our digital social lives, and they often capture moments tied with deep affections. Automated visual sentiment analysis tools can provide a means of extracting the rich feelings and latent dispositions embedded in these media. In this work, we explore how Convolutional Neural Networks (CNNs), a now de facto computational machine learning tool particularly in the area of Computer Vision, can be specifically applied to the task of visual sentime...
Citació
Campos, V., Jou, B., Giro, X. From pixels to sentiment: fine-tuning CNNs for visual sentiment prediction. "Image and vision computing", 5 Febrer 2017, vol. 65, p. 15-22.
Paraules clau
convolutional neural networks, fine-tuning strategies, sentiment, social multimedia
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants