2026-04-05T12:40:26Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/248292026-02-07T11:44:52Zcom_2072_1033col_2072_452950
RECERCAT
author
Carlier, Axel
author
Charvillat, Vincent
author
Salvador Aguilera, Amaia
author
Giró Nieto, Xavier
author
Marques, Ogé
2014
This paper introduces Click’n’Cut, a novel web tool for inter- active object segmentation designed for crowdsourcing tasks. Click’n’Cut combines bounding boxes and clicks generated by workers to obtain accurate object segmentations. These segmentations are created by combining precomputed object candidates in a light computational fashion that allows an immediate response from the interface. Click’n’Cut has been tested with a crowdsourcing campaign to annotate images from publicly available datasets. Results are competitive with state-of-the-art approaches, especially in terms of time needed to converge to a high quality segmentation.Postprint (published version)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Representació del coneixement
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
Image processing--Digital techniques
Human-machine systems
Pattern recognition systems
Crowdsourcing
object segmentation
object candidates
Interacció persona-ordinador
Reconeixement de formes (Informàtica)
Imatges -- Processament -- Tècniques digitals
Click'n'Cut: crowdsourced interactive segmentation with object candidates
Conference lecture