Efficient storage and retrieval of geo-referenced video from moving sensors

Authors:
Flora Gilboa-Solomon;Gal Ashour;Ophir Azulai
Affiliations:
IBM Research - Haifa, Mount Carmel, Haifa;IBM Research - Haifa, Mount Carmel, Haifa;IBM Research - Haifa, Mount Carmel, Haifa
Venue:
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2013

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Abstract

The general use of mobile sensors equipped with video, GPS, and compass is gaining momentum. These sensors continuously stream geo-referenced videos, which provide enormous amounts of data. Efficiently searching through these long-duration video corpuses based on location and time is a challenging task. We propose a novel approach to efficiently store frequent timestamped geographical tags in a spatial database to enable searching the video files within a short response time. Further, we enable retrieving segments of the full video that satisfy certain spatio-temporal conditions in a ranked manner. Our approach achieves short response times as compared to standard methods for saving geographic tags in a spatial database.