Senior Principal Research Scientist, Center for Vision Technologies
Dr. Michael Isnardi is a senior principal research scientist in SRI International’s Center for Vision Technologies, where he has worked since 1986. His early work included development of the DIRECTV system and Sarnoff Corporation’s Compliance Bitstreams product, which received a technical Emmy® award in 1999. Recent work includes development of congestion management, salience-based compression, digital holography algorithms, and compressed sensing technologies for imaging and video applications.
Dr. Isnardi received the David Sarnoff Award and the IEEE Consumer Electronics Society Third Millennium Medal. His professional memberships include SMPTE and IEEE. He serves on the Technical Program Committee for the International Conference on Consumer Electronics. He has given numerous papers and tutorials on digital television at industry events.
Recent publications
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Low-Power In-Pixel Computing with Current-Modulated Switched Capacitors
We present a scalable in-pixel processing architecture that can reduce the data throughput by 10X and consume less than 30 mW per megapixel at the imager frontend.
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Real-Time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators
In this paper we present Hyper-Dimensional Reconfigurable Analytics at the Tactical Edge using low-SWaP embedded hardware that can perform real-time reconfiguration at the edge leveraging non-MAC deep neural nets (DNN) combined with hyperdimensional (HD) computing accelerators.
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Hyper-Dimensional Analytics of Video Action at the Tactical Edge
We review HyDRATE, a low-SWaP reconfigurable neural network architecture developed under the DARPA AIE HyDDENN (Hyper-Dimensional Data Enabled Neural Network) program.
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Forensic Prescreening System Using Coded Aperture Snapshot Spectral Imager
We present a camera system for instantaneous, non-destructive capture of spectral signatures for forensic analysis. Our system detects highly probative samples in the forensic scene mixed by the multiple target objects by combining a coded aperture snapshot spectral imager with a multi-spectral detection algorithm.
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Vision Guided Compression on Low-Bit Rate Channels
We introduce Vision Guided Compression (VGC), as a pre-processing technology that can be coupled with standards-based video coding, to provide FMV at low-bit rates.
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Salience-Based Compression: Providing FMV Over Low-Bit Rate Channels
We introduce Salience-Based Compression (SBC), a vision-guided pre-filtering technology, coupled with standards-based video coding.