Half-pixel accurate motion-estimation using a flexible triangle search
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, a technique for half-pixel motion estimation using the flexible triangle search (FTS) algorithm is presented. The FTS algorithm is based on the simplex algorithm and has been presented and analyzed in previous work by authors. The approach proposed in this paper for half-pixel motion estimation is based on combining full- pixel and half-pixel searches into a single stage instead of using two separate search stages as commonly used. The resulting half-pixel FTS, HP-FTS, is implemented and analyzed as part of an H.263 encoder. Results indicate that the computational complexity of the proposed HP-FTS is lower compared to a two-stage (full-pixel first and half-pixel second) FTS algorithm. Further, the compression ratios and the quality of the reconstructed sequences using the proposed HP-FTS are similar to those of the two-stage FTS.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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