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Crowdsourced Object Segmentation with a Game

Salvador, Amaia and Carlier, Axel and Giro I Nieto, Xavier and Marques, Oge and Charvillat, Vincent Crowdsourced Object Segmentation with a Game. (2013) In: International ACM Workshop on Crowdsourcing for Multimedia - CrowdMM 2013, 21 October 2013 - 25 October 2013 (Barcelona, Spain).

(Document in English)

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Official URL: http://dx.doi.org/10.1145/2506364.2506367


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 back-ground. 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.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-04082634
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Universitat Politècnica de Catalunya - UPC (SPAIN)
Other partners > Florida Atlantic University - FAU (USA)
Laboratory name:
Deposited On:06 May 2015 12:00

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