Eye movements provide insight into what parts of an image a viewer finds most salient,
interesting, or relevant to the task at hand. Unfortunately, eye tracking data, a commonly …

This paper introduces Click'n'Cut, a novel web tool for interactive object segmentation
designed for crowdsourcing tasks. Click'n'Cut combines bounding boxes and clicks …

Video watermarking technique aims at resolving insecurity problems. Recently, many
approaches have been proposed in order to satisfy the new constraints of video applications …

There has been a growing interest in applying human computation–particularly
crowdsourcing techniques–to assist in the solution of multimedia, image processing, and …

The development of human computing games requires the implementation of different game
mechanics to make them challenging, interesting and motivating. These mechanics are …

The ability to quickly annotate medical imaging data plays a critical role in training deep
learning frameworks for segmentation. Doing so for image volumes or video sequences is …

This paper explores processing techniques to deal with noisy data in crowdsourced object
segmentation tasks. We use the data collected with Click'n'Cut, an online interactive …

A novel robust video watermarking scheme is proposed in this paper, in which
crowdsourcing technique is used to extract the most important regions from the original …

Proceedings of the 9th ACM Conference on Recommender Systems: The Recommendation
Game: Using a Game-with-a-Purpose to Generate R Page 1 The Recommendation Game ∗ …

Big data play a central role in eHealth and have been crucial for designing and
implementing clinical decisions support systems. Those applications can avail on data …