Joint bit-allocation for MPEG encoding of multiple video sequences with minimum quality-variation
Why this work is in the frame
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Bibliographic record
Abstract
This paper addresses the problem of multi-program video transmission over a single communication channel. We present a joint bit-allocation for MPEG encoding of multiple video sequences with a minimum quality-variation. The proposed method uses a picture-complexity measure based on the actual coding distortion in encoded frames, then allocates accordingly the available bits to explicitly reduce the variation in quality between the sequences. We compare the performance of the proposed method to independent encoding of the sequences at constant bit rates and to encoding with a joint bit-allocation scheme that uses a TM5-like picture-complexity measure. Results show that the proposed bit-allocation method is superior in terms of minimizing the quality variation between the video sequences and within the individual sequences. The method also provides better minimum picture quality than the other encoding schemes mentioned above. Applications of the joint bit-allocation method include multi-program transmission such as video on demand (VOD) services and digital TV broadcasting.
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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 | 0.000 |
| 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