Rethinking the Vision Sensing Pipeline for Energy Efficiency

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dc.contributor.advisorZhong , Linen_US
dc.creatorLi Kam Wa, Roberten_US
dc.date.accessioned2017-07-31T15:55:45Zen_US
dc.date.available2017-07-31T15:55:45Zen_US
dc.date.created2016-12en_US
dc.date.issued2016-08-02en_US
dc.date.submittedDecember 2016en_US
dc.date.updated2017-07-31T15:55:45Zen_US
dc.description.abstractThe future of computing is in allowing our devices to see what we see: Continuous mobile vision. Wearable systems will continuously interpret vision data for real-time analytics for rich context-awareness. Unfortunately, today’s system software and imaging hardware are ill-suited for this goal of “continuous mobile vision.” Current systems -- highly optimized for photography -- fail to achieve sufficient energy efficiency for the minuscule energy capacity requirements of wearable batteries. This thesis 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. By exploiting the hardware/software boundary for improved energy efficiency, this thesis opens the door to integrate our devices with our real-world environments and ultimately, our own lives.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLi Kam Wa, Robert. "Rethinking the Vision Sensing Pipeline for Energy Efficiency." (2016) Diss., Rice University. <a href="https://hdl.handle.net/1911/95563">https://hdl.handle.net/1911/95563</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/95563en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectcomputer visionen_US
dc.subjectenergy efficiencyen_US
dc.subjectmobile systemsen_US
dc.subjectmobile computingen_US
dc.subjectoperating systemsen_US
dc.subjectcomputer architectureen_US
dc.titleRethinking the Vision Sensing Pipeline for Energy Efficiencyen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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