SSIM-inspired two-pass rate control for High Efficiency Video Coding
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
We propose a perceptual two-pass rate control scheme for High Efficiency Video Coding (HEVC). The target bits are optimally allocated by hierarchically constructing a perceptual uniform space derived based on an SSIM-inspired divisive normalization mechanism for each group of pictures (GoP), each frame, and each coding unit (CU). The Lagrange multiplier λ, which controls the trade-off between perceptual distortion and bit rate, is adopted as the GoP level complexity measure. After the first pass compression, Laplacian based rate and perceptual distortion models are established to adaptively derive λ, and the target bits are dynamically allocated by maintaining an uniform Lagrange multiplier level through λ equalization. Within each GoP, rate control is further performed at frame and CU levels in the perceptually uniform space. Extensive simulations verify that, the proposed scheme can achieve high accuracy rate control and superior rate-SSIM performance.
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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 | 0.001 | 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) | 0.000 | 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