2017 •
Outdoor Object Recognition for Smart Audio Guides
Authors: Claudio Baecchi, Tiberio Uricchio, Lorenzo Seidenari, Alberto Del Bimbo
Venue: Proceedings of the 25th ACM international conference on Multimedia
Type: Publication
Abstract: We present a smart audio guide that adapts itself to the environment the user is navigating into. The system builds automatically a point of interest database exploiting Wikipedia and Google APIs as source. We rely on a computer vision system, to overcome the likely sensor limitations, and determine with high accuracy if the user is facing a certain landmark or if he is not facing any. Thanks to this the guide presents audio description at the most appropriate moment without any user intervention, using text-to-speech augmenting the experience.
Popularity: This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the
underlying citation network.
Influence: This indicator reflects the overall/total impact of an article in the research community at large, based on the
underlying citation network (diachronically).
Citation Count: This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in
the research community at large, based on the underlying citation network (diachronically).
Impulse: This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation
network.
We have placed cookies on your device to help make this website and the services we offer better. By using this site, you agree to the use of cookies. Learn more