Modeling DV/DVCPRO Standards on Reconfigurable Video Coding Framework
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
After more than 20 years, several video coding standards and technologies have been delivered. Less consideration is taken on their commonalities and interoperations. Specification and reference code of case by case is time consuming. The MPEG reconfigurable video coding (RVC) framework is a new standard under development by MPEG. It aims to provide a unified high‐level specification of current MPEG video coding technologies. In this framework, the decoder is built as a configuration of video coding tools taken from MPEG toolbox library. Up to now, MPEG‐4 simple profile and China audio video coding standard (AVS) decoders have been successfully modeled with RVC framework. In this paper, we examine another video standard, that is, DV/DVCPRO, and model it with RVC‐CAL. The flexibility and ease of RVC‐CAL is demonstrated as well as the validation of RVC modeling.
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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 | 0.001 |
| 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