An efficient video segmentation scheme for MPEG video stream using macroblock information
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Detecting Events from Continuous Media by Intermodal Collaboration and Knowledge Use
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Efficient MPEG compressed video analysis using macroblock typeinformation
IEEE Transactions on Multimedia
Rapid estimation of camera motion from compressed video with application to video annotation
IEEE Transactions on Circuits and Systems for Video Technology
Object tracking for retrieval applications in MPEG-2
IEEE Transactions on Circuits and Systems for Video Technology
A semantic event-detection approach and its application to detecting hunts in wildlife video
IEEE Transactions on Circuits and Systems for Video Technology
Robust video sequence retrieval using a novel object-based T2D-histogram descriptor
Journal of Visual Communication and Image Representation
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In this paper, we proposed an automatic two-level approach to segment videos into abstracted shots that are semantically meaningful mainly based on inferred video events. In the first level, ew detect scene changes in video sequence into shots. In the second level, each of the shots generated from level-1 is analyzed by utilizing the information of camera operations and object motion that are computed directly from motion vectors of MPEG-2 video streams in compressed domain. Events in tennis videos are than inferred from both object trajectories and applied specific domain knowledge. Video shots are further segmented based on detected video events and hence semantically meaningful video clips can be generated and can assist to annotate video shots, summarize video content, and generate descriptions and description schemes in MPEG-7 standard.