Transform coefficient coding design for AVS2 video coding standard
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Bibliographic record
Abstract
AVS2 is a next-generation audio and video coding standard currently under development by the Audio Video Coding Standard Workgroup of China. In this paper, a coefficient-group based transform coefficient coding design for AVS2 video coding standard is presented, which includes two main coding tools, namely, two-level coefficient coding and intra-mode based context design. The two-level coefficient coding scheme allows accurate coefficient position information to be used in the context model design and improves the coding efficiency. It also helps increase the entropy coding throughput and facilitate parallel implementation. The intra-mode based context design further improves coding performance by utilizing the intra-prediction mode information in the context model. The two coding tools combined provide consistent rate-distortion performance gains under standard test conditions. Both tools were adopted into the AVS2 working draft. Furthermore, an improved rate-distortion optimized quantization algorithm is designed based on the proposed scheme, which significantly reduces the encoder complexity.
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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 | 0.001 |
| 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