Automatic structuring and augmentation of a lifelog of images
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Summary
This proposal addresses the problem in 4 steps: identifying distinct events within the 3,000 images per day, highlighting the most unique of those events, finding similar events to a given event, and Augmenting the low-quality images from the wearable camera with higher quality images from external sources.
- Published
- 2007-05-29
- Cited by
- 15
- References
- 148
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59824373
References
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- Summarizing wearable video
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Cited by
- Dual-sensor fusion for seamless indoor user localisation and tracking
- A lifelogging system supporting multimodal access
- Experiences of Aiding Autobiographical Memory Using the SenseCam
- SenseCam: A wearable camera that stimulates and rehabilitates autobiographical memory
- Supporting lifestories through activity recognition and digital reminiscence
- Semantic Models for Adaptive Interactive Systems
- Periodicity Detection and its Application in Lifelog Data
- Visual object detection from lifelogs using visual non-lifelog data
- Remember me! Supporting Reminiscence through Digital Capture of Lifestories and Activity Recognition
- User Interaction Templates for the Design of Lifelogging Systems
- Metric Based Automatic Event Segmentation
- Touch Screens for the Older User
- Memory lane : an intelligent, multimodal, mobile reminiscence companion for older adults
- Structuring and Presenting Lifelogs Based on Location Data
- Synergetic Recollection: How to Design Lifelogging Tools That Help Locate the Right Information
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