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Enabling post-recording deep georeferencing of walkthrough videos : an interactive apprach

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Resumo(s)

The usage of large scale databases of georeferenced video stream has an in nite number of applications in industry and research since e cient storing in geodatabases to allowing the performing of spatial queries. Due to the fact that the video capturing devices have become ubiquitous, a good source for the acquisition of a lot of video contents is the crowdsourced approach of Social Media. However, these social apps usually do not support geo metadata or it is very limited to a single location on Earth. In other cases, the regular user usually does not have the required hardware and software to capture video footage with a deep georeference (position and orientation in time). There is a clear lack of methods for the extraction of that spatial component in video footage. This study proposes and evaluates a new method for the manual capture and extraction of the spatial geo-reference in the post production phase of video content. The proposed framework is based on a map-based user interface synchronized with the video stream. The e ciency and usability of the resulting framework were evaluated performing a user study, in addition, the resulting geo-metadata of the manual extracted georeference has been compared with the one previously captured by hardware in order to evaluate the goodness of the method.

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Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies

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Aproach methods tools

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