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Introduction to Motion Picture Engineering

Module code: EEP55C37 · Semester: Semester 2

Resources​

Questions by Year​

0 of 1 done · tick papers and add notes as you go

Papers open on tcd.ie (sign in to TCD first).

Topics

  • Video quality measurement: PSNR, SSIM, VQM, VMAF LO3
  • Motion estimation: frameworks and implementations LO2, LO4
  • Optimisation for image and video processing, e.g. segmentation and motion estimation LO2
  • Deep learning for motion estimation and video LO4
  • Video compression standards: HEVC, VP9, AV1, and royalty-free codecs LO5, LO7
  • Adaptive bitrate streaming LO6
Learning outcomes (exam covers LO1–7)
  1. Build tools in a commercial video processing platform (Nuke)
  2. Design and compare motion picture processing algorithms, e.g. denoising
  3. Use video quality metrics to assess and tune performance
  4. Explain how AI and motion information are used in video processing
  5. Describe current video compression standards and compare them on quality and energy
  6. Design adaptive bitrate strategies for streaming
  7. Describe the video industry ecosystem: sustainability and standards

Summarised from the module descriptor, checked November 2026.