Super-Resolution Input — detail-chart, ÷4 Area / box
The detail-chart plate downscaled 4× to 160x90 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.
Specifications
- Resolution
- 160x90
- Fps
- 24
- Downscale Factor
- 4
- Effective Scale X
- 4
- Effective Scale Y
- 4
- Downscale Filter
- Area / box
- Target Resolution
- 640x360
- Role
- super-resolution input
- Reference
- vid-superres-detail-chart-gt
- Crf
- 19
- Base Plate
- detail-chart
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
“Super-Resolution Input — detail-chart, ÷4 Area / box” 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="detail-chart-x4-area.mp4"></video>Related files
- 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 Ground Truth — text-motionThe full-resolution reference for the text-motion 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 — pan-city, ÷2 Area / boxThe pan-city 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 — pan-city, ÷2 BicubicThe pan-city 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 — pan-city, ÷2 Nearest neighbourThe pan-city 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 — pan-city, ÷3 Area / boxThe pan-city 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.