Abstract
This paper reports our study of a novel adaptive motion-compensated interpolation technique based on spatiotemporal segmentation. The number of reference frames and the intervals between them are adjusted to improve the temporal compensability of the input video in a GOP (group of pictures). The bit-rate allocation takes the advantage of temporal masking of human visual system. Experimental results show that this proposed adaptive coding scheme is more efficient than normal fixed GOP structure coding algorithm and may be an efficient development of the prior algorithm suggested by Lee and Dickinison (1994).
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