A layered video coding algorithm for multimedia applications over ATM
Bibliographic record
Abstract
We introduce a new coding algorithm for motion video. Our algorithm, dubbed SPAFLAY, is particularly well suited for multimedia applications (like teleconferencing and distance education) over ATM networks, as it naturally takes advantage of the two cell priority levels in ATM. Based on the dynamically changed focal point of the image, it assigns a higher priority to the cells carrying information about the current area of interest. This spatial layering technique is supplemented by layering in the frequency domain. Even if all low-priority cells are dropped by a congested switch, the quality of the received picture turns out to be acceptable in most cases. The coding method presented here has been used in a distance education package developed at the University of Alberta. 1 Introduction Owing to its asynchronous mode of operation, ATM naturally lends itself to variable bit rate (VBR) coding for video signals. In contrast to constant bit rate (CBR) coding, VBR schemes tend to utilize...
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".