A practical software-only noncausal predictive video codec for low-bit-rate multimedia applications
Bibliographic record
Abstract
A new coding scheme for bit rates below 150 Kb/s is proposed. The scheme combines (i) three-dimensional (3D) noncausal recursive prediction, (ii) vector quantization, and (iii) conditional replenishment. The 3D noncausal prediction model provides an alternative to causal (or unilateral) prediction, yet is not commonly used since it precludes recursive computations owing to its bilateral nature. This paper shows how to obtain a practical, near-optimal recursive implementation of the 3D noncausal video model and demonstrates its application in video compression. The proposed video codec is shown to produce high-quality compressed video at bit rates below 150 Kb/s. In contrast to the International Telecommunication Union (ITU) H.263 standard, the video codec exhibits acceptable video quality with a higher peak signal to reconstructed noise ratio (PSNR).
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How this classification was reachedexpand
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 | 0.000 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".