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. For many IoT applications involving wireless video sensors (e.g. Quality vs Bandwidth.
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