Topic : IEEE SPS 5-Minute Video Clip Contest – Fight the Pandemic

The IEEE Signal Processing Society is excited to announce the finalists of the second SPS 5-Minute Video Clip Contest!

The voting platform is now open, and you can help support the final three teams by voting for your favorite video! Head to the voting platform to cast your vote by 15:00 (GMT+4) on Wednesday, 28 October 2020. You may only vote once.

Voting is simple! To vote, please go to the following link: https://woobox.com/h8gimt and follow these instructions:

  1. View the three videos below.
  2. Select “vote” located under the video you choose to vote for.
  3. Enter your name, affiliation, and email address
  4. Click “submit.”
    (Collected information is used to aid in as part of the evaluation process and to monitor duplicate entries and fraudulent voting. Personal data will not be stored.)

This year’s topic, Fight the Pandemic, asked students to explore image and video processing tools for fighting the coronavirus (COVID-19) pandemic. Students were also welcome to submit “open topic” videos about subjects besides beamforming.

Finalist Videos

Video Title: COVID-19 Test Strip Reader
Nanyang Technological University
Supervisor: Weisi Lin
Tutor (Graduate student): Jingwen Hou
Students: Annan Wang, Xinyu Wang, Rui Li

Video Title: Machine Learning Screening of COVID-19 Patients Based on X-ray Images for unbalanced classes
Qatar University
Supervisor: Ridha Hamila
Students: Ilyes Mrad, Hatem Jebari, Amine Ghattasi

Video Title: Visual Analytic System For Pandemic Management During COVID-19
Nanyang Technological University and University of Electronic Science and Technology of China
Supervisor: Alex Kot
Students: Shan Lin, Fu Long Tan, Chen Hongyu, Kuan Yang Tang, Yingtian Tang, Nemath Ahmed

The Winners: Certificate plus $5000 (1st place), $2500 (2nd place), and $1500 (3rd place)

  • 1st Place: Visual Analytic System For Pandemic Management During COVID-19, Nanyang Technological University and University of Electronic Science and Technology of China, Supervisor: Alex Kot
    Students: Shan Lin, Fu Long Tan, Chen Hongyu, Kuan Yang Tang, Yingtian Tang, Nemath Ahmed
  • 2nd Place: Machine Learning Screening of COVID-19 Patients Based on X-ray Images for unbalanced classes, Qatar University, Supervisor: Ridha Hamila
    Students: Ilyes Mrad, Hatem Jebari, Amine Ghattasi
  • 3rd Place: COVID-19 Test Strip Reader, Nanyang Technological University, Supervisor: Weisi Lin, Tutor: Graduate student Jingwen Hou, Students: Annan Wang, Xinyu Wang, Rui Li