Publications

@article{chaves_improving_2019,

title = {Improving Speed-Accuracy Trade-off in Face Detectors for Forensic Tools by Image Resizing},

author = {Deisy Chaves and Eduardo Fidalgo and Enrique Alegre and Pablo Blanco-Medina},

url = {https://www.researchgate.net/profile/Deisy-Chaves/publication/345312886_Improving_Speed-Accuracy_Trade-off_in_FaceDetectors_for_Forensic_Tools_by_Image_Resizing/links/5fa39e3b92851cc28695f323/Improving-Speed-Accuracy-Trade-off-in-FaceDetectors-for-Forensic-Tools-by-Image-Resizing.pdf},

year  = {2019},

date = {2019-01-01},

journal = {V Jornadas Nacionales De Investigación en Ciberseguridad},

volume = {1},

number = {1},

pages = {222–223},

abstract = {This study proposes a strategy to improve face detection speed and accuracy in forensic material analysis, especially for Child Sexual Abuse cases. The method focuses on image resizing to enhance the performance of three deep-learning-based face detectors while ensuring real-time application capability. The results show that resizing images to 50% of their original size strikes the best balance between speed and accuracy, allowing faster face detection with minimal loss in performance.},

note = {Publisher: Universidad de Cáceres},

keywords = {CSA, deep learning, face detection, Forensic Images},

pubstate = {published},

tppubtype = {article}

}