Redpin - adaptive, zero-configuration indoor localization through user collaboration
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Viewable scene modeling for geospatial video search
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Design and implementation of geo-tagged video search framework
Journal of Visual Communication and Image Representation
Automatic tag generation and ranking for sensor-rich outdoor videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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As mobile videos from smartphones are getting more popular, there have been interests on managing such videos, especially in a large repository. For the management of mobile videos, a new approach has been proposed to organize and search videos using geospatial metadata such as camera location and viewing direction. With the approach, video contents in outdoor space were represented by pure geospatial properties so that well known spatial database technologies can handle video contents more effectively with spatial properties of videos. However, it has been limited by the localization techniques so mainly used for outdoor videos where localization techniques such as GPS is available. Different approaches are required to support geo-tagging of videos in indoor space where no GPS is not available. Due to the recent development of practical indoor localization technique, it becomes possible to tag spatial properties to indoor videos. This work in progress paper introduces a method of automatic geotagging and querying for indoor videos from smartphones.