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Communication Dans Un Congrès Année : 2017

Outlining Objects for Interactive Segmentation on Touch Devices

Résumé

Interactive segmentation consists in building a pixel-wise partition of an image, into foreground and background regions, with the help of user inputs. Most state-of-the-art algorithms use scribble-based interactions to build foreground and background models, and very few of these work focus on the usability of the scribbling interaction. In this paper we study the outlining interaction, which is very intuitive to non-expert users on touch devices. We present an algorithm, built upon the existing GrabCut algorithm, which infers both foreground and background models out of a single outline. We conducted a user study on 20 participants to demonstrate the usability of this interaction, and its performance for the task of interactive segmentation.
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Dates et versions

hal-01919274 , version 1 (12-11-2018)

Identifiants

Citer

Matthieu Pizenberg, Axel Carlier, Emmanuel Faure, Vincent Charvillat. Outlining Objects for Interactive Segmentation on Touch Devices. MM '17: 25th ACM international conference on Multimedia, Oct 2017, Mountain View, United States. pp.1734-1742, ⟨10.1145/3123266.3123409⟩. ⟨hal-01919274⟩
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