Constant-Quality CBR Rate-Control Algorithms for MPEG-4 Video Transcoding
Why this work is in the frame
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Bibliographic record
Abstract
Two constant quality (CQ) CBR algorithms for MPEG-4 video transcoding (FLCQT and MVCQT) are proposed in this paper. These algorithms are developed based on the CQ CBR encoding algorithms. A new Laplacian rate/distortion model is developed to predict the transcoder output quality relative to the original. This model is then used by the proposed rate control algorithms to determine the frame QP (for FLCQT) or macroblock QPs (for MVCQT). Simulation results suggest that the proposed transcoding algorithms generally give a lower quality variation with similar average PSNR and lower bitrate than the reference encoding and transcoding algorithms. Like Cheng-Yu Pai et. al., (2006), an extra degree of freedom is offered so that one can trade between lower PSNR variance and higher average PSNR.
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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