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Autores
Orientador(es)
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.
Descrição
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
Palavras-chave
Aproach methods tools
