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Everything about Motion estimation

Process used in video coding/compression

In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion happens in three dimensions (3D) but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Motion estimationA 5-minute orientation
  2. Skim a recent paper: Motion Estimation and Compensation in Automotive MIMO SARInfluential work since 2022
  3. Pick up a classic book: 3-D shape estimation and image restorationThe most-reprinted book on the subject
  4. Read the landmark paper: Motion estimation via dynamic visionCited 215 times
  5. Go sideways: Inter frameA closely related topic
  6. Go sideways: Block-matching algorithmA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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