User-oriented fair buffer management for MPEG video streams
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
Packet loss due to network congestion causes degradation in the quality of networked video transmitted over IP networks. Previous buffer management methods have been designed to prevent network congestion in order to reduce packet loss. However, a low packet loss ratio by itself does not necessarily translate to high video quality, so these methods do not ensure user-expected video quality; and hence, there is a need for alternative approaches to achieve user-expected video quality. This paper proposes a new buffer management scheme that focuses on achieving user-expected video quality, rather than just aiming at reducing packet loss. The proposed scheme allows the videos that share an output buffer to be guaranteed an appropriate share of the buffer when the buffer faces overflow, yet allows a complete sharing of the buffer space when it is not overflowing. The scheme also provides a mechanism that gives parts of a video lower loss than other parts. Simulation experiments show that the Quality of Service requirements of multiple videos and effective utilization of network resources can both be achieved.
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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