Research Article
Serious Games for Large-Scale Image Sensing
@INPROCEEDINGS{10.1007/978-3-319-29060-7_17, author={Bruno Sim\"{o}es and Michele Bianchi and Alberto Debiasi and Raffaele Amicis}, title={Serious Games for Large-Scale Image Sensing}, proceedings={Serious Games, Interaction, and Simulation. 5th International Conference, SGAMES 2015, Novedrate, Italy, September 16-18, 2015, Revised Selected Papers}, proceedings_a={SGAMES}, year={2016}, month={3}, keywords={Serious games methodologies Participatory sensing}, doi={10.1007/978-3-319-29060-7_17} }- Bruno Simões
Michele Bianchi
Alberto Debiasi
Raffaele Amicis
Year: 2016
Serious Games for Large-Scale Image Sensing
SGAMES
Springer
DOI: 10.1007/978-3-319-29060-7_17
Abstract
The access to large-scale imagery datasets has been a significant obstacle to the success of many applications in application domains that range from 3D modelling to augmented reality, and from infrastructure inspection to urban planning. Although large collections of images already exist, from sources such as Bing Maps, Google Street View, and many photo-sharing sites, they are incomplete, inaccurate and expensive. A solution to this problem could be to leverage on large end-user communities to collaboratively acquire and share information about their surroundings. In this paper, we outline some basic mechanics in serious games that can be explored for the purpose of data collection. Additionally, we describe new ways of guiding players’ actions towards the purpose of our game – image and video crowdsourcing.
