An approach focussed on resolving identity of
subjects in a photo using mobile device connectivity,
Web services and social network ontologies is
presented in this paper. A framework is described in
which mobile device sensors, Web services and
ontologies are combined to provide meaningful photo
annotation metadata that can be used to recall photos
from the Web. Useful metadata can be gleaned from
the environment at the time of capture and further
information inferred from available Web services.
This paper presents an approach to semi-automate photo annotation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location in combination with existing photo annotations to provide suggestions to the user. An algorithm exploits a number of technologies including Global Positioning System (GPS), Semantic Web, Web services and Online Social Networks, considering all information and making a best-e ort attempt to suggest both people and places depicted in the photo. The user then selects which of the suggestions are correct to annotate the photo. This process accelerates the photo annotation process dramatically which in turn aids photo search for a wide range of query tools that currently trawl the millions of photos on the Web.
J. Parvanova, V. Alexiev, и S. Kostadinov. International Workshop on Collaborative Annotations in Shared Environment: metadata, vocabularies and techniques in the Digital Humanities (DH-CASE 2013). Collocated with DocEng 2013, Florence, Italy, (сентября 2013)
J. Domingue, и M. Dzbor. IUI '04: Proceedings of the 9th international conference on Intelligent user interface, стр. 191--197. New York, NY, USA, ACM Press, (2004)
B. van Elst; Andreas Dengel. KI 2009: Advances in Artificial Intelligence. Künstliche Intelligenz (KI-2009), September 15-18, Paderborn, Germany, том 5803 из Lecture Notes in Artificial Intelligence, LNAI, стр. 249-256. Springer-Verlag, Heidelberg, (сентября 2009)
J. Domingue, и M. Dzbor. IUI '04: Proceedings of the 9th international conference on Intelligent user interface, стр. 191--197. New York, NY, USA, ACM Press, (2004)