The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Querying Imprecise Data in Moving Object Environments
IEEE Transactions on Knowledge and Data Engineering
SEVA: sensor-enhanced video annotation
Proceedings of the 13th annual ACM international conference on Multimedia
Uncertain spatial data handling: Modeling, indexing and query
Computers & Geosciences
Range search on multidimensional uncertain data
ACM Transactions on Database Systems (TODS)
Efficient indexing methods for probabilistic threshold queries over uncertain data
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Viewable scene modeling for geospatial video search
MM '08 Proceedings of the 16th ACM international conference on Multimedia
UR-tree: an efficient index for uncertain data in ubiquitous sensor networks
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Effectively Indexing the Uncertain Space
IEEE Transactions on Knowledge and Data Engineering
Generating synthetic meta-data for georeferenced video management
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Probabilistic similarity join on uncertain data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
A shot boundary detection method for news video based on rough sets and fuzzy clustering
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Social interactions over geographic-aware multimedia systems
Proceedings of the 21st ACM international conference on Multimedia
Orientation data correction with georeferenced mobile videos
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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GIS applications now increasingly make use of geo-located multimedia data such as images and videos. Furthermore, the wide-spread availablity of smartphones allows the acquisition of user-generated videos that are annotated with geo-properties. The sensor meta-data, e.g., GPS and digital compass values, are considerably smaller in size than the visual content and are helpful in effectively and efficiently manage and search through large repositories of videos. However, a major practical issue is the noisy nature of such sensor data. For example, due to sensor data inaccuracies the visual coverage described by the meta-data may not exactly match the actual video scene, which leads to imprecise search results and positional disagreements on map overlays. Obstructions between the camera and its captured objects make these situations worse. Therefore, robust error-tolerance is an essential feature of any geo-tagged video search application. To this end we introduce HUGVid, a modeling and indexing approach for uncertain geo-tagged videos. We construct an uncertainty model for video frames and segments. Since the frame-by-frame uncertainty model involves high computational complexity, we then propose an approximate modeling method based on a video segmentation algorithm which eliminates costly overlap calculations between the query region and individual frames. Finally, we test the performance of HUGVid with both two real-world and a large-scale synthetic dataset. Experimental results show that our method achieves high precision and good scalability and allows the efficient querying of noisy sensor data. HUGVid also returns confidence probabilities with the results which can then be beneficially used in upstream GIS applications.