We introduce a new algorithm for image segmentation based
on crowdsourcing through a game : Ask'nSeek. The game
provides information on the objects of an image, under the
form of clicks that are either on the object, or on the background.
These logs are then used in order to determine the
best segmentation for an object among a set of candidates
generated by the state-of-the-art CPMC algorithm. We also
introduce a simulator that allows the generation of game
logs and therefore gives insight about the number of games
needed on an image to perform acceptable segmentation.
CitacióSalvador, A. [et al.]. Crowdsourced object segmentation with a game. A: ACM international workshop on Crowdsourcing for multimedia. "Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia". Barcelona: 2013, p. 15-20.