Transmission of real-time multi-layered MPEG-4 video over ATM/ABR service
Bibliographic record
Abstract
The transmission of real-time MPEG-4 video presents network designers with various challenges primarily because of the lack of advance knowledge of its real-time traffic characteristics and in the face of stringent QoS requirements. In order to carry out real-time MPEG-4 video, we propose a novel source architecture that combines traffic shaping, rate shaping, early VOP dropping, and utilizing the feedback information as conveyed by the network through the B-RM cells of the ABR service. The proposed scheme is evaluated using an ATM/ABR network simulator and a real video trace encoded into two layers according to the MPEG-4 standard. The simulation results presented in this paper demonstrate that the proposed architecture is capable of protecting the basic layer and satisfying the delay bound as specified by the application. Furthermore, the proposed scheme is capable of protecting the video quality from any sudden drops in the network bandwidth, yet still providing a graceful degradation if the congestion condition persists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".