Scalable video coding based on high efficiency video coding (HEVC)
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we propose two structures for scalable video coding (SVC) based on HEVC. Several inter-layer prediction mechanisms are introduced to improve coding efficiency of the proposed HEVC-based SVC. The proposed inter-layer predictions are developed on single-loop and multi-loop decoding structures. We found that the proposed SVC is able to decrease average bitrates of enhancement layers by about 10.2% for the all-intra case, and 7.4% for the random access case, compared with single layer coding with no inter-layer prediction in multi-loop decoding. In addition, the single-loop decoding with the proposed inter-layer predictions achieves coding gains of 10.2% for the all-intra case, and 2.6% for the random access case.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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