Problem‐driven three‐dimensional television research involving human visual perception studies
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
Abstract Stereoscopic three‐dimensional (S3‐D) visual entertainment has become a hot technology that is emerging very quickly in many new electronic devices and visual communication systems. Although this rapid growth of S3‐D technology is relatively recent, visual scientists have been conducting research on fundamental issues of stereoscopic 3‐D television (3‐D TV) development and deployment for many years. To illustrate how human visual perception research has been applied to the study of stereoscopic 3‐D TV related issues, selected experimental studies that were conducted by the Communications Research Centre Canada within the last 15 years are presented. The studies reflect empirical investigations on a wide range of topics from an applied vision research perspective: the prevalence of stereo‐deficiency, the potential use of mixed‐resolution binocular imaging for reducing transmission bandwidth, the role of stereoscopic object motion on visual comfort, and the use of surrogate depth maps for the conversion of standard video to S3‐D format to increase the availability of S3‐D program contents.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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