Ontology-Based Photo Annotation
IEEE Intelligent Systems
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Metadata creation system for mobile images
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Context data in geo-referenced digital photo collections
Proceedings of the 12th annual ACM international conference on Multimedia
Citron: A Context Information Acquisition Framework for Personal Devices
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Automatic image annotation and retrieval using weighted feature selection
Multimedia Tools and Applications
Automating Photo Annotation using Services and Ontologies
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
QACBAC: an owner-centric QoC-aware context-based access control model for pervasive environments
SPRINGL '08 Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS
A generalized context-based access control model for pervasive environments
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
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The increasing number of personal digital photos on the Web makes their management, retrieval and visualization a difficult task. To annotate these images using Semantic Web technologies is the emerging solution to decrease the lack of the description in photos files. However, existing tools performing manual annotation are time consuming for the users. In this context, this paper proposes a semi-automatic approach for annotating photos and photo collections combining OWL-DL ontologies and contextual metadata acquired by mobile devices. We also describe a mobile and Web-based system, called PhotoMap, that provides automatic annotation about the spatial, temporal and social contexts of a photo (i.e., where, when, and who). PhotoMap uses the Web Services and Semantic Web reasoning methods in order to infer information about the taken photos and to improve both browsing and retrieval.