Paper
1 November 1992 Efficient MPEG motion compensation scheme by motion trajectory tracking method
Xiaobing Lee, Peifang Zhou, Alberto Leon-Garcia
Author Affiliations +
Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131475
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
This paper presents an efficient Motion Compensation scheme by 3-D Motion Trajectory Tracking (MTT) for MPEG (Motion Picture Expert Group) video codec implementations. A frame of video sequence can be segmented into non-motion region, traceable-motion region, rapid-motion and new object regions. A particular macro-block of the frame is located within one of such regions. A 3-D motion trajectory vector can track the motion of this macro-block frame-by-frame, in parallel with the pre-filtering and frame-grouping processes, as long as it is located in the non-motion/traceable-motion regular or occasionally the rapid-motion region. The 2-D motion displacements of the macro-blocks which are near this trajectory trace can be approximated from the deviations of the 3-D motion trajectory, since there are strong temporal correlations among such 2-D displacements. The Motion Estimation (ME) of MPEG encoding can then be performed on a smaller window predicted from the pre-calculated 3-D motion trajectory vectors. This approach of MPEG ME has twice the complexity of motion compensation schemes with two adjacent frames (H.261 kind codecs) for arbitrary number (N) of skipped frames, rather than (N + 1)2/N + 2(DOT)[N2 + (N - 1)2 + ... + 22 + 1]/N. Therefore, real-time and low-cost MPEG codec is feasible, with the maximum amount of skipping frames.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaobing Lee, Peifang Zhou, and Alberto Leon-Garcia "Efficient MPEG motion compensation scheme by motion trajectory tracking method", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131475
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Motion estimation

3D image processing

Computer programming

Video

Image processing

Visual communications

Information operations

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