[1] Megret R, and DeMenthon D. A survey of spatio-temporal grouping techniques. Technical report: University of Maryland, College Park; 2002. [2] Tsaig Y, and Averbuch A. Automatic segmentation of moving objects in video sequences: a region labeling approach[J].IEEE Trans. on Circuits and Systems for Video Technology.2002, 12(7):597-612 [3] Xiao J, and Shah M. Motion layer extraction in the presence of occlusion using graph cuts[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.2005, 27(10):1644-1659 [4] Wang R, Zhang H J, and Zhang Y Q. A confidence measure based moving object extraction system built for compressed domain. IEEE International Symposium on Circuits and Systems, Geneva, Switzerland, 2000, 5: 21-24. [5] Porikli F M. Real-time video object segmentation for MPEG-encoded video sequences. SPIE Conference on Real-Time Imaging VIII, 2004, 5297: 195-203. [6] Zeng W, Du J, and Gao W, et al.. Robust moving object segmentation on H.264/AVC compressed video using the block-based MRF model. Real-Time Imaging, 2005, 11(4): 290-299. [7] Mezaris V, Kompatsiaris I, and Boulgouris N V, et al.. Real-time compressed-domain spatiotemporal segmentation and ontologies for video indexing and retrieval[J].IEEE Trans. on Circuits and Systems for Video Technology.2004, 14(5):606-621 [8] Babu R V, Ramakrishnan K R, and Srinivasan S H. Video object segmentation: a compressed domain approach[J].IEEE Trans. on Circuits and Systems for Video Technology.2004, 14(4):462-474 [9] How-Lung E, and Kai-Kuang M. Spatiotemporal segmentation of moving video objects over MPEG compressed domain. IEEE International Conference on Multimedia and Expo, New York, 2000, 3: 1531-1534. [10] Benzougar A, and Bouthemy P, Fablet R. MRF-based moving object detection from MPEG coded video. IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, 3: 402-405. [11] Babu R V, and Ramakrishnan K R. Compressed domain motion segmentation for video object extraction. IEEE International Conference on Acoustics, Speech, and Signal Processing, Florida, USA, 2002, 4: 3788-3791. [12] Sukmarg O, and Rao K R. Fast object detection and segmentation in MPEG compressed domain. IEEE Region 10 Technical Conference, Malaysia, 2000, 3: 364-368. [13] Comaniciu D and Meer P. Mean shift analysis and applications. IEEE International Conference on Computer Vision, Kerkyra, Greece, 1999, 2: 1197-1203. [14] Christoudias C M, Georgescu B, and Meer P. Synergism in low level vision. International Conference on Pattern Recognition, Quebec City, Canada, 2002, 4: 150-155. [15] Chang H S, and Kang K. A compressed domain scheme for classifying block edge patterns[J].IEEE Trans. on Image Processing.2005, 14(2):145-151 [16] Yeo B L, and Liu B. Rapid scene analysis on compressed video[J].IEEE Trans. on Circuits and Systems for Video Technology.1995, 5(6):533-544 [17] Comaniciu D, and Meer P. Mean shift: a robust approach toward feature space analysis[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.2002, 24(5):1-18 [18] Black M J, and Anandan P. The robust estimation of multiple motions: parametric and piecewise-smooth flow fields[J].Computer Vision and Image Understanding.1996, 63(1):75-104 [19] Li S Z. Markov Random Field Modeling in Image Analysis. Tokyo: Springer-Verlag, 2001: 235-237.
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