| Abstract
In the MPEG-4 paradigm, the sequence must
be described in terms of meaningful objects. This meaningful, high-level,
representation should emerge from low-level primitives such as optical
flow and prediction error which are the basic elements of previous-generation
video coders. The accuracy of the high-level models strongly depends on
the robustness of the primitives used.
In this paper, we show how perceptual
weighting in optical flow computation gives rise to better motion estimates
which consistently improve motion-based segmentation compared to
equivalent unweighted motion estimates.
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