Improved Tile Format of Stereoscopic Video for 3-D TV Broadcasting
Why this work is in the frame
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Bibliographic record
Abstract
Tile format is a new frame packing arrangement for the first generation of 3-D TV broadcasting services. It puts the left- and right-eye images of each stereoscopic image pair into a single composition frame that allows the service provider to reuse existing production and distribution infrastructure for offering 3-D TV services. Different from frame compatible formats, the tile format composition does not down-sample the left- and right-eye images and, thus, provides a higher video quality for both 3-D and 2-D display. The problem with the tile format is that it creates artificial edges in the right-eye image and introduces visible tiling artifacts around the artificial edges after compression. This brief paper presents a simple modification to the tile format composition method that significantly reduces the tiling artifacts. Experimental results show that local PSNRs around artificial edges are improved by over 1 dB.
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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 | 0.000 | 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