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Recently spatial crowd sourcing was introduced as a natural extension to traditional crowd sourcing allowing for tasks to have a geospatial component, i.e., A task can only be performed if a worker is physically present at the location of the task. The problem of assigning spatial tasks to workers in a spatial crowd sourcing system can be formulated as a weighted bipartite b-matching graph problem...
Automatic reconstruction of 3D models is attracting increasing attention in the multimedia community. Scene recovery from video sequences requires a selection of representative video frames. Most prior work adopted content-based techniques to automate key frame extraction. However, these methods take no frame geo-information into consideration and are still compute-intensive. Here we propose a new...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.