Martin Schwalb

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The video coding standard H.264 supports video compression with a higher coding efficiency than previous standards. However, this comes at the expense of an increased encoding complexity, in particular for motion estimation which becomes a very time consuming task even for today’s central processing units (CPU). On the other hand, modern graphics hardware(More)
Several algorithms have been proposed to solve the problem of camera motion estimation in digital videos. However, the distinction between translation along the xaxis (y-axis) and rotation around the y-axis (x-axis) has only rarely been considered, and no approach of this kind is known to us for the MPEG domain. In this paper, we present such an algorithm(More)
The distinction of translational and rotational camera motion and the recognition of moving objects is an important topic for scientific film studies. In this paper, we present an approach to distinguish between camera and object motion in MPEG videos and provide a pixel-accurate segmentation of moving objects. Compressed domain features are used as far as(More)
In recent years, many features have been suggested to facilitate the task of video retrieval. However, up to now, three-dimensional (3D) scene information has not been utilized to retrieve shots from a database consisting of monocular video sequences. In this paper, we propose the use of depth features for video retrieval purposes. Our depth feature(More)
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