The Subjective Quality of Stereoscopic 3D Video Following Display Stream Compression
Bibliographic record
Abstract
Stereoscopic displays present similar but different images/videos separately to the left and right eyes. Here we report the results of a subjective assessment of computer-generated high dynamic range (HDR) stereoscopic video compression targeting lightweight, low-latency visually lossless performance. The ISO/IEC 29170–2 non-flicker paradigm (Annex A) was adapted for stereoscopic videos and used to evaluate the VESA DSC 1.2a and VDC-M 1.2.2 codecs operating at and beyond their recommended maximum compression levels. Both codecs exhibited visually lossless performance at their target compressions levels. There were differences in compression artifact detection rates with some image sequences between stereoscopic and 2D presentation although the direction of the difference was inconsistent. The results confirm the effectiveness of these codecs for Stereoscopic 3D (S3D) videos and suggest that observers are relatively insensitive to compression artifacts in moving stereoscopic imagery.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".