2026-04-17T14:42:38Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/248292026-02-07T11:44:52Zcom_2072_1033col_2072_452950

Click'n'Cut: crowdsourced interactive segmentation with object candidates Carlier, Axel Charvillat, Vincent Salvador Aguilera, Amaia Giró Nieto, Xavier Marques, Ogé Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo 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 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) 2014 Conference lecture Carlier, A. [et al.]. Click'n'Cut: crowdsourced interactive segmentation with object candidates. A: ACM international workshop on Crowdsourcing for multimedia. "CrowdMM '14 Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia". Orlando, Florida: ACM, 2014, p. 53-56. 978-1-4503-3128-9 https://hdl.handle.net/2117/24829 10.1145/2660114.2660125 eng http://dl.acm.org/citation.cfm?doid=2660114.2660125 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain 4 p. application/pdf application/pdf ACM