Week 2: Data Pipeline

Day 9: Frames and Timing

Day 9 of 2818 minGoal - Learn - Example - Practice - Checkpoint

Goal

Understand why video becomes frame sequences.

Learn

  • A video is a sequence of frames. Many pipelines process each frame, then study how the body, hands, and face change over time.
  • Timing matters in ASL. Holds, repeated movement, speed, transitions, and pauses can all affect meaning or naturalness.
  • Frame rate and trimming affect the data. A clip that starts too late may miss the sign preparation; a clip that ends too early may lose the final hold.

Example

  • A 2-second clip at 30 frames per second has about 60 frames. A pose extractor may create one keypoint record per frame.
  • For a sign with repeated movement, frames should show start position, movement, repeat, and final hold.

Practice

  1. Pick one sign or short phrase and sketch six key moments from beginning to end.
  2. Label the start, movement, hold, repeat if any, transition, and end.

Checkpoint

Before moving on

You can explain why timing is part of the sign, not just a video detail.

Pipeline note

Pipeline note

Keep frame counts and frame rate in metadata so training and review tools know how time was represented.