Probabilistic space-time video modeling via piecewise GMM
In this paper, we describe a statistical video representation and modeling scheme. Video representation schemes are needed to segment a video stream into meaningful video-objects, useful for later indexing and retrieval applications. In the proposed methodology, unsupervised clustering via Gaussian...
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| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 2004-03, Vol.26 (3), p.384-396 |
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| container_title | IEEE transactions on pattern analysis and machine intelligence |
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| creator | Greenspan, H. Goldberger, J. Mayer, A. |
| description | In this paper, we describe a statistical video representation and modeling scheme. Video representation schemes are needed to segment a video stream into meaningful video-objects, useful for later indexing and retrieval applications. In the proposed methodology, unsupervised clustering via Gaussian mixture modeling extracts coherent space-time regions in feature space, and corresponding coherent segments (video-regions) in the video content. A key feature of the system is the analysis of video input as a single entity as opposed to a sequence of separate frames. Space and time are treated uniformly. The probabilistic space-time video representation scheme is extended to a piecewise GMM framework in which a succession of GMMs are extracted for the video sequence, instead of a single global model for the entire sequence. The piecewise GMM framework allows for the analysis of extended video sequences and the description of nonlinear, nonconvex motion patterns. The extracted space-time regions allow for the detection and recognition of video events. Results of segmenting video content into static versus dynamic video regions and video content editing are presented. |
| doi_str_mv | 10.1109/TPAMI.2004.1262334 |
| format | Article |
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| issn | 0162-8828 1939-3539 |
| language | eng |
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| subjects | Algorithms Artificial Intelligence Computer Graphics Data mining Event detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image segmentation Indexing Information retrieval Information Storage and Retrieval - methods Jacobian matrices Models, Statistical Normal Distribution Numerical Analysis, Computer-Assisted Pattern analysis Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Streaming media Studies Subtraction Technique Video compression Video Recording - methods Video sequences |
| title | Probabilistic space-time video modeling via piecewise GMM |
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