Super-Resolution Input — text-motion, ÷4 Bicubic
The text-motion plate downscaled 4× to 160x90 using a bicubic filter. The standard downscale in most benchmarks. Mild ringing at edges, and the filter most super-resolution models are trained to invert — so it flatters them. Upscale it back to 640x360 and score against the ground truth in this group — the filter is recorded because which one was used changes the difficulty far more than the scale factor does.
Browser-playable test video · 2 seconds
Specifications
- Resolution
- 160x90
- Fps
- 24
- Downscale Factor
- 4
- Effective Scale X
- 4
- Effective Scale Y
- 4
- Downscale Filter
- Bicubic
- Target Resolution
- 640x360
- Role
- super-resolution input
- Reference
- vid-superres-text-motion-gt
- Crf
- 19
- Base Plate
- text-motion
Testing contract
Expected to pass- Scenario
- Upscale the clip back to the ground truth's resolution and score the result against the reference.
- Expected result
- The input is 160x90, downscaled from 640x360 with the Bicubic filter; the reference is vid-superres-text-motion-gt. The scale is exactly 4 in both axes. Filter is the controlled variable: the three filters at each factor share a source and a target, so a score that moves between them tracks the resampling kernel and nothing else.
What is a .mp4 file?
MP4 (MPEG-4 Part 14) is the dominant container for digital video, holding video, audio, subtitle, and metadata tracks in a tree of typed boxes. `ftyp` declares the brand, `moov` carries the sample tables that make seeking possible, and `mdat` holds the media; when an encoder writes `moov` last, playback cannot begin until the file has fully downloaded, which a faststart remux fixes. It derives from Apple's QuickTime format, generalized by ISO into the ISOBMFF base that MOV, 3GP, and HEIF share.
How to use this file
Use an example MP4 to test box parsing and track detection, seeking, range-request streaming, and transcode or thumbnail pipelines: verifying that a file with a trailing `moov` box is still handled, and that codec support is checked per track rather than inferred from the extension.
How to use this file for testing
“Super-Resolution Input — text-motion, ÷4 Bicubic” is a deterministic Novus Examples fixture for Video upscaling, Video QA. Low-resolution clips produced from a documented high-quality source by a recorded filter, so super-resolution output can be measured against the original rather than judged by eye.
Documented properties for this file: super-resolution input · 24 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="text-motion-x4-bicubic.mp4"></video>Related files
- mp4Super-Resolution Ground Truth — detail-chartThe full-resolution reference for the detail-chart super-resolution set at 640x360. Every low-resolution input in this group was produced by downscaling these exact pixels with a recorded filter, so an upscaler's output can be compared against the true original instead of against another upscale.
- mp4Super-Resolution Ground Truth — pan-cityThe full-resolution reference for the pan-city super-resolution set at 640x360. Every low-resolution input in this group was produced by downscaling these exact pixels with a recorded filter, so an upscaler's output can be compared against the true original instead of against another upscale.
- mp4Super-Resolution Input — detail-chart, ÷2 Area / boxThe detail-chart plate downscaled 2× to 320x180 using a area / box filter. Simple pixel averaging, what a camera's binning path actually does. Softer than bicubic and not what most models saw in training, which makes it a fairer test. Upscale it back to 640x360 and score against the ground truth in this group — the filter is recorded because which one was used changes the difficulty far more than the scale factor does.
- mp4Super-Resolution Input — detail-chart, ÷2 BicubicThe detail-chart plate downscaled 2× to 320x180 using a bicubic filter. The standard downscale in most benchmarks. Mild ringing at edges, and the filter most super-resolution models are trained to invert — so it flatters them. Upscale it back to 640x360 and score against the ground truth in this group — the filter is recorded because which one was used changes the difficulty far more than the scale factor does.
- mp4Super-Resolution Input — detail-chart, ÷2 Nearest neighbourThe detail-chart plate downscaled 2× to 320x180 using a nearest neighbour filter. Point sampling with no filtering at all, so downscaling aliases hard. The Siemens star folds into moiré, and no amount of upscaling can recover what aliasing destroyed. Upscale it back to 640x360 and score against the ground truth in this group — the filter is recorded because which one was used changes the difficulty far more than the scale factor does.
- mp4Super-Resolution Input — detail-chart, ÷3 Area / boxThe detail-chart plate downscaled 3× to 212x120 using a area / box filter. Simple pixel averaging, what a camera's binning path actually does. Softer than bicubic and not what most models saw in training, which makes it a fairer test. Upscale it back to 640x360 and score against the ground truth in this group — the filter is recorded because which one was used changes the difficulty far more than the scale factor does.
Generated by generation/video_ai_suites.py. Free for any use, no attribution required, license.