Multi-resolution motion estimation at low bit-rates
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
The performance of multi-resolution motion estimation schemes in low bit-rate video coding are presented. Video frames are individually wavelet decomposed and motion activity is detected using variable block size multi-resolution motion estimation (MRME) schemes. The residual frames are coded using zero tree quantization, followed by arithmetic entropy coding. The MRME schemes are shown to exploit the motion correlation among subbands of different scales. We show that the MRME schemes behave differently, than as shown by Zafar et al. (1993), in low bit rate applications employing zero tree quantization. Simulation results are provided for coding of QCIF resolution (176/spl times/144 pixels) video frames at 10 frames/sec, coded at various low bit-rates. Four different MRME schemes are evaluated and performance comparisons are provided for several low output bit-rates.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it