MMM2 used ‘context-to-community’ inferencing to support the sharing of mobile media by inferring the likely recipients for media captured on cameraphones based on the user’s and the community’s prior sharing history and contextual metadata such as the time of capture, CellID and GPS location, and Bluetooth-sensed human co-presence.
‘Demos’
Active Capture software and interaction design automate the capture of stills and video for, and of, users. By integrating capture, processing, and interaction, Active Capture automates the traditional processes of direction and cinematography. Using real-time media analysis in an interactive control loop, Active Capture software structures the user’s interaction with a capture device to record reusable, annotated media assets.
