Towards Software-Defined Imaging - Adaptive Video Subsampling for Energy-Efficient Object Tracking

Towards Software-Defined Imaging - Adaptive Video Subsampling for Energy-Efficient Object Tracking

tinyML via YouTube Direct link

Introduction

1 of 28

1 of 28

Introduction

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Towards Software-Defined Imaging - Adaptive Video Subsampling for Energy-Efficient Object Tracking

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 How have people been trying to tackle this problem
  3. 3 Whats one example
  4. 4 Why use cloud computing
  5. 5 Softwaredefined imaging
  6. 6 Softwaredefined radio
  7. 7 Reconfiguring imaging pipeline
  8. 8 The sequence of image processing operations
  9. 9 The image processing stack
  10. 10 Experiments
  11. 11 Lognormal distribution
  12. 12 Logarithmic quantization
  13. 13 Summary
  14. 14 Visual Slam Pipeline
  15. 15 Optical Edge Filtering
  16. 16 AP Vision
  17. 17 Sensor Changes
  18. 18 Object Tracking
  19. 19 ROI
  20. 20 Solution
  21. 21 Software
  22. 22 Algorithm Acceleration
  23. 23 Reinforcement Learning
  24. 24 Network Architecture
  25. 25 Preliminary Results
  26. 26 Conclusions
  27. 27 Questions
  28. 28 Dynamic Talk Sponsors

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.