The Future in Visual Computing: Research Challenges
ACM Sigarch
DECEMBER 6, 2018
smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. In a traditional visual analytics pipeline, we compress the data by exploiting the redundancies in time and space. Such compression is designed to replicate the data such that the reconstruction losses are imperceptible to the human eye.
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