April 01, 2017

Video Compressive Sensing with Side Information

  • Pang S.
  • Sun Y.
  • Yuan X.

We report a temporal compressive imaging system with side information. In addition to a coded measurement used to play the pivot role to reconstruct high speed video frames, we employ a second channel to capture the blurry image as side information to improve the reconstruction quality. These two channels are operating at the same low frame rate to capture the high speed scene. In the first channel, each high-speed video frame is modulated by a physical shifting to form a coded image and these coded images are superimposed to construct the measurement captured by the sensors. The second channel is directly capturing the summarization of these high-speed frames. Following this, a joint reconstruction algorithm is developed to recover the high-speed videos from the two measurements. We demonstrate a 4x temporal compression imaging system by dividing the detector into two parallel views and thus using a single detector to capture the two channels simultaneously. Simulation and experimental results demonstrate the improved performance of the reconstructed videos aided by the side information

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Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...