Publications

@article{fidalgo_early_2019,

title = {Early fusion of multi-level saliency descriptors for image classification},

author = {Eduardo Fidalgo and Enrique Alegre and Laura Fernández-Robles and Víctor González-Castro},

url = {https://scholar.google.es/citations?view_op=view_citation&hl=es&user=opCbArQAAAAJ&cstart=20&pagesize=80&sortby=title&citation_for_view=opCbArQAAAAJ:BrmTIyaxlBUC},

year  = {2019},

date = {2019-01-01},

journal = {Revista Iberoamericana de Automática e Informática industrial},

volume = {16},

number = {3},

pages = {358–368},

abstract = {This paper proposes an improved image classification method by enhancing Bag of Visual Words (BoVW) coding through saliency maps. By treating saliency maps as topographic maps and filtering background features, classification accuracy is improved. Six saliency algorithms were evaluated, selecting GBVS and SIM for retaining object information. SIFT descriptors from the background were filtered using binary images at different saliency levels, and early fusion of these descriptors was tested across five datasets.},

note = {Publisher: UNIV POLITECNICA VALENCIA, EDITORIAL UPV CAMINO VERA SN, VALENCIA, 46022, SPAIN},

keywords = {Bag of Visual Words, BoVW, Feature Filtering, Image classification, Saliency Maps, SIFT Descriptors},

pubstate = {published},

tppubtype = {article}

}