KEYWORDS: Cameras, Image segmentation, Video, Clouds, 3D modeling, Video processing, Visualization, Data storage, Panoramic photography, Data processing
Automatic selection of key-shots is an important step for video data processing. Depending on the purpose, key-shot
selection provides user feed back on recorded data, storage reduction and viewpoint selection and it can be used for
panoramic image stitching and 3D-reconstruction. In particular, investigating scenes of crime or accidental investigations
involves large amount of data, containing information on physical arrangement of objects, details on surface geometry
and appearances. This paper proposes an efficient method for automatic selection of key-shot, providing onsite feedback
on recorded segments and automatic selection of view-points for 3D-reconstruction. It uses appearance based object and
scene modeling for a freely moving, hand held camera. The camera motion is determined on two levels, comparing
appearances of local image regions and full 3D reconstruction. On the lower level, the 2D-warp between subsequent
video frames is used to determine local change of image appearance and derive a set of motion key frames. These keyframes
than are used to determine full 3D motion and to reconstruct objects. Furthermore, key-frames are used for fast
indexation and detection of loop closures. Examples for automatic key-frame selection are given for an re-enacted crime
scene, and compared to manual selection.
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