Motion Compensated Frame Rate Conversion Using a Specialized Instruction Set Processor
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper describes an application-specific instruction set for a configurable processor to accelerate motion compensated frame rate conversion (MC-FRC) algorithms based on block motion estimation (BME). The proposed instruction set is generic enough to support many MC-FRC algorithms. The performance gain obtained from this instruction set is described and explained. The new instructions are used to implement two BME algorithms: the full search (FS) algorithm and the one-dimensional full search (ODFS) algorithm. The obtained acceleration factor is about one hundred in the case of the FS algorithm and about forty in the case of ODFS. This paper describes the new instruction set and explains these results by describing more precisely how the acceleration is performed. This paper also shows that the acceleration reached can lead to real-time performance on video streams that have a bandwidth similar to NTSC using processors currently available
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it