High definition video intra-only coding based on node-cell macroblock pixel structure and 2-D interleaved DCT
Bibliographic record
Abstract
With fast developments in video broadcasting and communication, high definition and high bit rate video applications with low latency are becoming more and more popular. This leads to the emergence of the intra-only encoding scheme as it can provide the required performance. Specific to these applications, a novel intra-only video coding algorithm is proposed in this paper. A node-cell macroblock pixel structure is defined and a 2-D interleaved DCT is proposed to encode the node pixels. The proposed algorithm introduces several new intra coding modes based on the proposed node-cell macroblock pixel structure. Combined with the existing MPEG-4 AVC intra coding modes, the proposed algorithm implements the mode decision through a rate distortion optimization process. To evaluate the performance, the proposed coding algorithm is integrated into the reference MPEG4-AVC codec. Experimental results confirm that the new coding algorithm can provide significant rate distortion performance gain over the reference MPEG-4 AVC codec.
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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 | 0.000 | 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 | 0.000 | 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".