Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An Integrated Metamodel for Knowledge Representation in Geolibraries
ADL '00 Proceedings of the IEEE Advances in Digital Libraries 2000
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
From context to content: leveraging context to infer media metadata
Proceedings of the 12th annual ACM international conference on Multimedia
Context data in geo-referenced digital photo collections
Proceedings of the 12th annual ACM international conference on Multimedia
Leveraging context to resolve identity in photo albums
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Latent semantic fusion model for image retrieval and annotation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Introduction to digital gazetteer research
International Journal of Geographical Information Science - Digital Gazetteer Research
Context-aware person identification in personal photo collections
IEEE Transactions on Multimedia - Special issue on integration of context and content
Requirements for mobile photoware
Personal and Ubiquitous Computing
Towards the semantic and context-aware management of mobile multimedia
Multimedia Tools and Applications
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The recent popularity of digital cameras has posed a new problem: how to efficiently store and retrieve the very large number of digital photos captured and chaotically stored in multiple locations without any annotation. This paper proposes an infrastructure, called PhotoGeo, which aims at helping users with the people photo annotation, event photo annotation, storage and retrieval of personal digital photos. To achieve the desired objective, PhotoGeo uses new algorithms that make it possible to annotate photos with the key metadata to facilitate their retrieval, such as: the people who were shown in the photo (who); where it was captured (where); the date and time of capture (when); and the event that was captured. The paper concludes with a detailed evaluation of these algorithms.