Abstract
Analysis of image sequences requires the estimation of motion as one feature. The most frequently used approaches for image sequence coding estimate motion in a block-oriented fashion. The disadvantage is that boundaries of moving objects within a block significantly reduce the reliability of motion estimation. Intraframe image segmentation partitions an image into regions according to a spatially homogeneous criterion. Adding motion as an additional temporal feature to intraframe image segmentation, the final regions are expected to be homogeneous also according to the underlying motion model. The motion estimate becomes more reliable in the sense of true motion, since object boundaries do not affect the motion estimation.
The presented approach jointly estimates motion and segmentation in a hierarchical fashion allowing for analysis of symbolic properties at different resolutions as well as for efficient image sequence coding and progressive transmission.
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© 1995 Springer-Verlag Berlin Heidelberg
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Illgner, K. (1995). Hierarchical Joint Estimation of Motion and Segmentation. In: Sagerer, G., Posch, S., Kummert, F. (eds) Mustererkennung 1995. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79980-8_32
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DOI: https://doi.org/10.1007/978-3-642-79980-8_32
Publisher Name: Springer, Berlin, Heidelberg
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