CS Events Monthly View
Computer Science Department ColloquiumContinuous Mobile Vision: Rethinking Vision Systems for Efficiency and Privacy |
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Monday, April 18, 2016, 10:30am |
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The future of computing is in allowing our devices to see what we see; envisioned wearable systems will continuously interpret vision data for real-time analytics. However, today’s system software and imaging hardware are ill-suited for such “continuous mobile vision.” Current systems -- highly optimized for photography -- fail to achieve sufficient energy efficiency or privacy preservation. This talk provides a rethinking of the vision system stack that includes application frameworks, operating system and sensor hardware to improve efficiency by two orders of magnitude. This cross-layer rethinking contributes: (1) a split-process application framework that eliminates redundancy in data movement and processing across multiple concurrent applications, (2) operating system optimizations for energy proportional image capture, and (3) a mixed-signal image sensor architecture that processes data in the analog domain to eliminate the efficiency bottleneck of analog-digital conversion. The talk will briefly share future plans to further continuous mobile vision by exploiting the hardware/software boundary for improved energy efficiency and effective privacy preservation, opening the door to integrate our devices with our real-world environments and ultimately, our own lives.
Speaker: Robert LiKamWa
Bio
Robert LiKamWa is a final-year PhD Student at Rice University. As a Mobile Systems researcher, he operates at the intersection of Operating Systems and Computer Architecture. His dissertation research focuses on efficient system support for continuous mob
Location : Core A (Room 301)
Committee:
Uli Kremer
Event Type: Computer Science Department Colloquium
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Organization:
Rice University