Efficient rate control for H.264/AVC intra frame
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper points out some problems inherent in H.264/AVC intra frame rate control (RC) and presents several new algorithms to solve them. Three main algorithms are proposed in this paper. Multiple quantization parameters (QPs) determination algorithm based on the statistics of the deviation measure is proposed. Thus, relatively accurate QP estimation can be achieved since it takes the features of the current frame content into consideration. Two slice-based RC schemes are also proposed to stabilize the output bit rate. The scene change is detected with the complexity of adjacent frames based on deviation measure, which not only generates stable bit rate output but also improves the video quality. The combination of all the above algorithms improve the average peak signal-to-noise ratio (PSNR) by 0.74 dB while keeping the mismatch of the bit rate output less than 7.18% compared to the H.264/AVC reference model, JM12.0, under various sequences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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