Interpolation Input — depth-layers at 8 fps
The depth-layers plate decimated to 8 fps by keeping every 3th frame, so 32 of the original 48 frames are missing. Interpolate back to 24 fps and each synthesised frame has an exact counterpart in the ground truth. Larger gaps need genuine motion understanding rather than blending.
Specifications
- Resolution
- 640x360
- Fps
- 8
- Frames
- 16
- Decimation
- every 3rd frame kept
- Frames To Recover
- 32
- Role
- interpolation input
- Reference
- vid-interp-depth-layers-gt
- Crf
- 19
- Base Plate
- depth-layers
What is a .mp4 file?
MP4 (MPEG-4 Part 14) is a widely supported multimedia container based on ISOBMFF that holds video, audio, subtitles, and metadata, most commonly H.264 or H.265 video with AAC audio. It supports streaming, chapters, and multiple tracks. It is the dominant format for distributing and playing digital video.
How to use this file
Use an example MP4 to test container demuxing, track and codec detection, seeking and streaming, and transcoding or thumbnail-extraction pipelines.
How to use this file for testing
“Interpolation Input — depth-layers at 8 fps” is a deterministic Novus Examples fixture for Frame interpolation, Video QA. Clips with frames removed on a known pattern, paired with the full-rate source — for scoring frame-interpolation and slow-motion tooling against a real reference.
Documented properties for this file: interpolation input · 8 fps. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
Media fixtures are short and synthetic by design. Prefer waveform or transcript ground truth in the same group when measuring ASR, trim, upscale, or sync tools; do not assume broadcast-quality masters.
Code examples
<video controls preload="metadata" width="640" src="depth-layers-8fps.mp4"></video>Related files
- mp4Interpolation Ground Truth — orbit-solid at 24 fpsThe full-rate 24 fps reference for the orbit-solid interpolation set. The decimated clips in this group drop frames from exactly this sequence, so every frame an interpolator is asked to synthesise has a true original to be scored against — which is the only way to tell invention from reconstruction.
- mp4Interpolation Ground Truth — pan-city at 24 fpsThe full-rate 24 fps reference for the pan-city interpolation set. The decimated clips in this group drop frames from exactly this sequence, so every frame an interpolator is asked to synthesise has a true original to be scored against — which is the only way to tell invention from reconstruction.
- mp4Interpolation Input — orbit-solid at 12 fpsThe orbit-solid plate decimated to 12 fps by keeping every 2th frame, so 24 of the original 48 frames are missing. Interpolate back to 24 fps and each synthesised frame has an exact counterpart in the ground truth. Larger gaps need genuine motion understanding rather than blending.
- mp4Interpolation Input — orbit-solid at 6 fpsThe orbit-solid plate decimated to 6 fps by keeping every 4th frame, so 36 of the original 48 frames are missing. Interpolate back to 24 fps and each synthesised frame has an exact counterpart in the ground truth. Larger gaps need genuine motion understanding rather than blending.
- mp4Interpolation Input — orbit-solid at 8 fpsThe orbit-solid plate decimated to 8 fps by keeping every 3th frame, so 32 of the original 48 frames are missing. Interpolate back to 24 fps and each synthesised frame has an exact counterpart in the ground truth. Larger gaps need genuine motion understanding rather than blending.
- mp4Interpolation Input — orbit-solid, Motion-Blurred DecimationHalved frame rate where each output frame is the AVERAGE of the two it replaces, rather than one of them — what a long shutter angle actually produces. Substantially harder than clean decimation, because the interpolator must undo motion blur as well as invent the missing instants, and no input frame matches any ground-truth frame exactly.
Generated by generation/video_ai_suites.py. Free for any use, no attribution required — license.