Introduction to Motion Picture Engineering
Module code: EEP55C37 · Semester: Semester 2
Resources
Questions by Year
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)
- Build tools in a commercial video processing platform (Nuke)
- Design and compare motion picture processing algorithms, e.g. denoising
- Use video quality metrics to assess and tune performance
- Explain how AI and motion information are used in video processing
- Describe current video compression standards and compare them on quality and energy
- Design adaptive bitrate strategies for streaming
- Describe the video industry ecosystem: sustainability and standards