International Symposium on Mobile Mapping Technology (MMT) 2015, pp.1-6
Language
English
Type
Conference Paper
Abstract
In this study, mobile mapping technologies are applied to photos and videos from film locations of movies and dramas. One of major goals of this study is to implement three killer services related with the production of movies and dramas; one is a location search service for location managers to search and select suitable film locations, another is an AR (Augmented Reality) tourism service for tourists who are big fans of famous movies or dramas, and the other is an user-participated location information upload service. To implement these applications, shooting position and attitude data should be integrated into photos and videos from locations, and these photos and videos should be visualized realistically based on geospatial data and AR technologies. However, these applications and relevant mobile mapping technologies are rather different from the case of existing mobile mapping applications such as Microsoft Photosynth, Google Street View and so on. There are many difficulties especially for accuracy and performance due to the usage of mobile devices, limited number of available photos and videos, and constrained environment in film locations etc. This study summarized predicted challenges, prepared detailed service scenarios, and finally suggested a system architecture. The suggested system architecture consists of apps for photo and video contents acquisition, semantic search engine and client, and visualization viewers based on AR, street/indoor views and 2D/3D maps. Technologies from this study will be applicable to many other fields besides the production of movies and dramas, and other conventional mobile mapping applications. This study will show possibilities of mobile mapping technologies in cooperation with other fields.
KSP Keywords
3D map, Augmented reality(AR), Geospatial data, Google Street View, Location information, Mapping Technology, Mobile devices, Photo and video, Position and attitude, Semantic search engine, Service Scenarios
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