The Future in Visual Computing: Research Challenges
ACM Sigarch
DECEMBER 6, 2018
cameras) in many usages ranging from digital security/surveillance and automated retail (e.g. 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. Quality vs Bandwidth.
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