Publications
2018
1.
Fidalgo, Eduardo; Alegre, Enrique; González-Castro, Víctor; Fernández-Robles, Laura
Boosting image classification through semantic attention filtering strategies Artículo de revista
En: Pattern Recognition Letters, vol. 112, pp. 176–183, 2018, (Publisher: North-Holland).
Resumen | Enlaces | BibTeX | Etiquetas: Bag of Words, Image classification, Mean Shift, Saliency Map, support vector machine
@article{fidalgo_boosting_2018,
title = {Boosting image classification through semantic attention filtering strategies},
author = {Eduardo Fidalgo and Enrique Alegre and Víctor González-Castro and Laura Fernández-Robles},
url = {https://www.sciencedirect.com/science/article/pii/S0167865518302757},
year = {2018},
date = {2018-01-01},
journal = {Pattern Recognition Letters},
volume = {112},
pages = {176–183},
abstract = {This paper presents three attention filtering methods based on saliency maps to enhance image classification using BoVW, SPM, and CNN features. The proposed strategies include AutoBlur for selecting the image signature's blurring factor and two SARF variants: one using Mean Shift segmentation and the other with a key point voting system. Experiments show that these methods improve classification performance in five datasets, outperforming baseline methods with BoVW, and achieving competitive results with SPM and CNN.},
note = {Publisher: North-Holland},
keywords = {Bag of Words, Image classification, Mean Shift, Saliency Map, support vector machine},
pubstate = {published},
tppubtype = {article}
}
This paper presents three attention filtering methods based on saliency maps to enhance image classification using BoVW, SPM, and CNN features. The proposed strategies include AutoBlur for selecting the image signature's blurring factor and two SARF variants: one using Mean Shift segmentation and the other with a key point voting system. Experiments show that these methods improve classification performance in five datasets, outperforming baseline methods with BoVW, and achieving competitive results with SPM and CNN.