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In decoded digital video, the local perceptual compression artifact level depends on the global compression ratio and the local video content. In this paper, we show how to build a highly relevant metric for video compression artifacts using supervised learning. To obtain the ground truth for training, we first build a reference metric for local estimation of the artifact level, which is robust to...
We address an important issue of fully low-cost and low-complex video compression for use in resource-extremely limited sensors/devices. Conventional motion estimation-based video compression or distributed video coding (DVC) techniques all rely on the high-cost mechanism, namely, sensing/sampling and compression are disjointedly performed, resulting in unnecessary consumption of resources. That is,...
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