Low bit rate overhead based reference modification for error resilient video coding
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
During video transmission, errors may happen normally. Addressing error resiliency, the reference modification (RM) approach at video compression encoder is used to modify the original reference to a modified one, which is less sensitive to errors. Apparently it is a bit rate overhead compared to original reference based conventional encoder. Therefore to reduce such bit rate overhead while still keep the error resilience performance is a big issue. A low bit rate overhead based RM approach is proposed in this paper, where the decoder information is exploited to perform encoding. In the proposal, the modified reference has more correlation to original reference, thus can reduce the bit rate overhead. In addition, the proposal can achieve better image recovery compared to existing works, and still be compatible to standard decoder. Overall, the proposal provides the best trade-off among the error resiliency, coding efficiency, and standard compatibility.
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 | 0.001 | 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 | 0.002 | 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