A Tour in the Real-World Challenges Faced by Law Enforcement Agencies When Dealing With Images

A Tour in the Real-World Challenges Faced by Law Enforcement Agencies When Dealing With Images

IEEE Signal Processing Society via YouTube Direct link

Intro

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1 of 48

Intro

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A Tour in the Real-World Challenges Faced by Law Enforcement Agencies When Dealing With Images

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  1. 1 Intro
  2. 2 ABOUT ME
  3. 3 WHAT WE DO
  4. 4 WHY THIS PRESENTATION?
  5. 5 WHAT IS FORENSIC VIDEO ANALYSIS?
  6. 6 WHY IS IT SO HELPFUL?
  7. 7 WHAT ARE THE ISSUES
  8. 8 VIDEO EVIDENCE SEEMS EASY, BUT IT'S ACTUALLY EASY TO GET IT WRONG
  9. 9 INFRARED: DON'T TRUST THE COLORS OF MOST CCTV FOOTAGE AT NIGHT
  10. 10 ANOTHER EXAMPLE
  11. 11 LENS DISTORTION: CAMERAS MAY CHANGE THE SHAPE OF THINGS
  12. 12 PERSPECTIVE: SIZE COMPARISON MAY BE TRICKY
  13. 13 COLOR FIDELITY IT'S HARD TO OBJECTIVELY EVALUATE COLORS ON VIDEO
  14. 14 WHAT COLORS DO YOU SEE?
  15. 15 COMPRESSION ARTIFACTS: HIDING OR ADDING DETAILS TO THE SCENE
  16. 16 VIDEO COMPRESSION
  17. 17 WHAT IS THIS...
  18. 18 PROPRIETARY VIDEO FORMATS
  19. 19 PROPRIETARY PLAYERS
  20. 20 SOMETHING WENT WRONG!
  21. 21 HOW NOT TO EXPORT
  22. 22 IMAGE QUALITY AND ENHANCEMENT/RESTORATION
  23. 23 PERSPECTIVE CORRECTION, DEBLURRING
  24. 24 DEINTERLACING, HISTOGRAM EQ, STABILIZATION, FRAME INTEGRATION, SHARPENING
  25. 25 EXPOSURE, STABILIZATION AND FRAME INTEGRATION
  26. 26 PERSPECTIVE STABILIZATION AND SUPERRESOLUTION
  27. 27 DEBLURRING A SCREEN PHOTO
  28. 28 I NEED THAT LICENSE PLATE... BORDERLINE!
  29. 29 WHAT CAN WE DO?
  30. 30 PROCESSING REQUIREMENTS FOR EVIDENTIARY USE
  31. 31 WHICH KIND OF ALGORITHMS ARE ACCEPTABLE?
  32. 32 THE IMAGE GENERATION MODEL
  33. 33 TRUST. DEEPFAKES, MANIPULATION, AND MISATTRIBUTION
  34. 34 FORENSIC VIDEO ANALYSIS: INTERPRETING IN THE RIGHT WAY WITHOUT BIAS
  35. 35 WE SEE WHAT WE WANT TO SEE
  36. 36 MEASURING HEIGHT
  37. 37 SPEED ESTIMATION
  38. 38 JUDGES AND JURIES ARE EASY TO MISLEAD ON TECHNICAL TOPICS
  39. 39 IMPACT OF ARTIFICIAL INTELLIGENCE
  40. 40 Al/ML/DEEP LEARNING ISSUES
  41. 41 GOING TO THE AVERAGE
  42. 42 BALANCE BETWEEN PRIVACY AND SECURITY
  43. 43 CYBERSECURITY
  44. 44 AMPED SOFTWARE
  45. 45 HOW TO CORRECTLY WORK ON IMAGE AND VIDEO EVIDENCE?
  46. 46 GUIDELINES
  47. 47 WHAT CAN WE OBTAIN?
  48. 48 CONCLUSIONS

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