Video analyzer now uses Farneback dense optical flow to classify each
scene as motion_clip, animated_still, or static_image. This lets the
agent correctly identify whether a reference video uses AI-generated
video clips vs still images with pan/zoom — and plan the right pipeline.
Changes:
- video_analyzer.py: new Step 3b with _classify_scene_motion() and
_read_frame_at() helpers; updated _needs_motion() to use per-scene
motion data instead of pacing heuristic alone
- video-reference-analyst.md: added Motion line to summary template
and instructions to read motion_type field before proposing tools
calesthio