Abstract: Embodiments of methods for multimedia annotation with sensor data (referred to herein as Sensor-rich video) includes acquisition, management, storage, indexing, transmission, search, and display of video, images, or sound, that has been recorded in conjunction with additional sensor information (such as, but not limited to, global positioning system information (latitude, longitude, altitude), compass directions, WiFi fingerprints, ambient lighting conditions, etc.). The collection of sensor information is acquired on a continuous basis during recording. For example, the GPS information may be continuously acquired from a corresponding sensor at every second during the recording of a video. Therefore, the acquisition apparatus generates a continuous stream of video frames and a continuous stream of sensor meta-data values. The two streams are correlated in that every video frame is associated with a set of sensor values. Note that the sampling frequency (i.e.

Abstract: Embodiments of methods for multimedia annotation with sensor data (referred to herein as Sensor-rich video) includes acquisition, management, storage, indexing, transmission, search, and display of video, images, or sound, that has been recorded in conjunction with additional sensor information (such as, but not limited to, global positioning system information (latitude, longitude, altitude), compass directions, WiFi fingerprints, ambient lighting conditions, etc.). The collection of sensor information is acquired on a continuous basis during recording. For example, the GPS information may be continuously acquired from a corresponding sensor at every second during the recording of a video. Therefore, the acquisition apparatus generates a continuous stream of video frames and a continuous stream of sensor meta-data values. The two streams are correlated in that every video frame is associated with a set of sensor values. Note that the sampling frequency (i.e.