Key frame selection by motion analysis
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Viewable scene modeling for geospatial video search
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Sensor-rich video exploration on a map interface
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Real-time disparity contrast combination for onboard estimation of the visibility distance
IEEE Transactions on Intelligent Transportation Systems
Sight surfers: 360º videos and maps navigation
Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia
Sharing and navigating 360° videos and maps in sight surfers
Proceeding of the 16th International Academic MindTrek Conference
Automatic positioning data correction for sensor-annotated mobile videos
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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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To present user-generated videos that relate to geographic areas for easy access and browsing it is often natural to use maps as interfaces. A common approach is to place thumbnail images of video keyframes in appropriate locations. Here we consider the challenge of determining which keyframes to select and where to place them on the map. Our proposed technique leverages sensor-collected meta-data which are automatically acquired as a continuous stream together with the video. Our approach is able to detect interesting regions and objects (hotspots) and their distances from the camera in a fully automated way. Meaningful keyframes are adaptively selected based on the popularity of the hotspots. Our experiments show very promising results and demonstrate excellent utility for the users.