Camera Motion Analysis in On-line MPEG Sequences

This work describes a two stages algorithm for camera motion analysis. First, it detects frames defining changes in the camera motion pattern, and then characterises the motion pattern for each video segment. The proposed scheme is motivated by hierarchical content-aware adaptation of on-line video. Its main characteristics are on-line operation, direct analysis on the compressed domain, efficiency and robustness. Results are similar to those achieved by state-of-the-art camera motion classification schemes based on iterative fitting to a motion model, despite involving a significantly smaller number of operations.

[1]  Maurizio Pilu Using raw MPEG motion vectors to determine global camera motion , 1998, Electronic Imaging.

[2]  Jesús Bescós,et al.  An Engine for Content-Aware On-Line Video Adaptation , 2006, SAMT.

[3]  Tianli Yu,et al.  Retrieval of video clips using global motion information , 2001 .

[4]  Bernd Freisleben,et al.  Estimation of arbitrary camera motion in MPEG videos , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[5]  Hyung-Myung Kim,et al.  Efficient camera motion characterization for MPEG video indexing , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

[6]  W.J. Gillespie,et al.  Robust estimation of camera motion in MPEG domain , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[7]  Hermann Ney,et al.  FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation , 2004, CLEF.

[8]  SangKeun Lee,et al.  Real-time camera motion classification for content-based indexing and retrieval using templates , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[9]  Patrick Bouthemy,et al.  The Derivation Of Qualitative Information In Motion Analysis , 1990, ECCV.