Robust video coding over wireless channels using TRIRF inter-frame 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
In video communication systems based on motion-compensated predictive coding, transmission errors cause spatial and temporal distortion propagation during; the reconstruction of the video sequence at the receiver. Two commonly used techniques to stop error propagation are (1) periodic refreshing by intra-frame coding and (2) retransmission. However, frequent intra-frame refreshing may be expensive in band-limited applications such as wireless video transmission. On the other hand, retransmission causes additional delay which may be intolerable in real-time applications. We present a novel video coding mode which we call transmitter receiver identical reference frame (TRIRF) based inter-frame coding. Under the assumption of the existence of a feedback channel, TRIRF-frame coding constructs a new type of reference frame from the correctly received data which is made identical both at the receiver and the transmitter. Motion estimation and compensation are based on the TRIRF-frame. Simulations show that TRIRF-frame coding prevents error propagation as effectively as intra-coding but with improve compression efficiency. We also propose a packetization scheme for the encoded video bit streams which enables rapid resynchronization of the decoder.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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