Event detection from MPEG video in the compressed domain

The paper describes two techniques for detecting dynamic events using the motion vectors obtained from the MPEG video encoding. In the first technique, feature vectors from motion information form a high dimensional curve for a video clip, and curve simplification allows us to browse the clip along portions where interesting events are likely to happen. In the second technique, the camera motion, pan, tilt, and zoom are computed from the motion vectors, and the residual vectors which are not explained by the camera motion are regarded as generated by moving blobs. Events are detected from these moving blobs.

[1]  Daniel P. Huttenlocher,et al.  Image segmentation using local variation , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[2]  Longin Jan Latecki,et al.  Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution , 1999, Comput. Vis. Image Underst..

[3]  David S. Doermann,et al.  Building mosaics from video using MPEG motion vectors , 1999, MULTIMEDIA '99.

[4]  David Doermann,et al.  Archiving, indexing, and retrieval of video in the compressed domain , 1996, Other Conferences.

[5]  Alain Jacot-Descombes,et al.  Video segmentation and camera motion characterization using compressed data , 1997, Other Conferences.

[6]  David S. Doermann,et al.  Video summarization by curve simplification , 1998, MULTIMEDIA '98.

[7]  Berthold K. P. Horn Robot vision , 1986, MIT electrical engineering and computer science series.