ViPro: Focal-Plane Spatially-Oversampling CMOS Image Compression Sensor
Bibliographic record
Abstract
The CMOS image sensor computes spatially-compressing convolutional transforms directly on the focal plane, yielding digital output at a rate proportional to the mere information rate of the video. A bank of column-parallel DeltaSigma-modulated analog-to-digital converters (ADCs) performs distributed columnwise focal-plane oversampling of a set of adjacent pixels and concurrent weighted average quantization. The number of samples per pixel and switched capacitor sampling sequence order set the amplitude and sign of the respective pixel coefficient. Outputs of a set of adjacent ADCs are accumulated to realize a two-dimensional block matrix transform in parallel for all columns. The 3.1 mm times 1.9 mm prototype, ViPro, containing a 128times128 active pixel array and a bank of 128 hybrid algorithmic DeltaSigma-modulated ADCs yields 4 GMACS (multiply-and-accumulates per second) computational throughput in real-time discrete cosine transform (DCT) video compression when scaled to HDTV 1080i resolution
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".