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ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Image similarity search with compact data structures
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Semantic feedback for interactive image retrieval
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On the Effectiveness of Movement Prediction to Reduce Energy Consumption in Wireless Communication
IEEE Transactions on Mobile Computing
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
Photo-to-Search: Using Camera Phones to Inquire of the Surrounding World
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Image retrieval based on indexing and relevance feedback
Pattern Recognition Letters
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Personalized social & real-time collaborative search
Proceedings of the 16th international conference on World Wide Web
Power law and exponential decay of inter contact times between mobile devices
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
EnsemBlue: integrating distributed storage and consumer electronics
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
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WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Image retrieval: Ideas, influences, and trends of the new age
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Micro-Blog: sharing and querying content through mobile phones and social participation
Proceedings of the 6th international conference on Mobile systems, applications, and services
Relevance aggregation projections for image retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Energy conservation by adaptive feature loading for mobile content-based image retrieval
Proceedings of the 13th international symposium on Low power electronics and design
A survey of browsing models for content based image retrieval
Multimedia Tools and Applications
Multimodal photo annotation and retrieval on a mobile phone
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Distributed image search in camera sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
An examination of daily information needs and sharing opportunities
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Musicology: Bringing Personal Music into Shared Spaces
MOBIQUITOUS '07 Proceedings of the 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking&Services (MobiQuitous)
iScope: personalized multi-modality image search for mobile devices
Proceedings of the 7th international conference on Mobile systems, applications, and services
Segank: a distributed mobile storage system
FAST'04 Proceedings of the 3rd USENIX conference on File and storage technologies
RFID security and privacy: a research survey
IEEE Journal on Selected Areas in Communications
Mobile exploration of geotagged photographs
Personal and Ubiquitous Computing
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Mobile devices are quickly becoming a primary medium for personal information gathering, management, and sharing. Managing personal image data on mobile platforms is a challenging problem due to large data set size, content and context diversity, heterogeneous individual usage patterns, and resource constraints. This article presents a user-centric system, called iScope, for personal image management and sharing on mobile devices. iScope uses multi-modality clustering of both content and context information for efficient image management and search, and online learning techniques for predicting images of interest. It also supports distributed image search among networked devices while maintaining the same intuitive interface, enabling efficient information sharing among people. We have implemented iScope and conducted infield experiments using networked Nokia N810 portable Internet tablets. Energy efficiency was a primary design focus during the design and implementation of the iScope search algorithms. Experimental results demonstrate that iScope improves search time and search energy by 4.1脳 and 3.8脳 on average, relative to browsing.