Panoramic video with predictive windows for telepresence applications
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
We describe the application of a predictive Kalman filter to the display of panoramic images. We discuss integrating a panoramic imaging system with prediction of viewing direction to create an effective telepresence system over low bandwidth links. Panoramic imaging using a reflective mirror surface offers an alternative to pan-tilt systems for obtaining a 360 degree field of view. Selecting a small window within a panoramic image allows a meaningful part of an image from a remote site to be seen at a higher refresh rate. Because of the delay in transmitting an image from a remote site, it is necessary to have additional image information available locally. This information can be used to simulate continuously flowing pictures with reduced apparent delay. Continuity in image viewing is achieved by predicting the next viewpoint of an operator and preemptively transmitting parts of an image. Experimental results are given to evaluate the proposed telepresence system.
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 | 0.000 | 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