A Novel Interactive Streaming Protocol for Image-Based 3D Virtual Environment Navigation
Bibliographic record
Abstract
Image-based rendering (IBR) has attracted recent attention mainly due to its low requirements for generating new scenes based on a sequence of reference images. IBR has paved the way for a new class of application, the free viewpoint television (FTV), which allows the viewer to interactively control the camera and move freely within a scene. IBR can also be used to render complex 3D virtual environments on graphics-constrained devices, such as cellphones and PDAs. In this paper, we propose a new protocol that offers the user a richer virtual experience by pre-streaming the necessary imagery data to generate new views as the user wanders within a 3D environment. We introduce the idea of key partial panoramas, Le., panorama segments that cover movements in any direction by simply strafing from an appropriate key partial panorama and streaming the amount of lost pixels. We have implemented our protocols and evaluated them against two well-known approaches. Experimental results show that our solution outperforms the selected approaches, by minimizing the delay between image updates and by allowing for a more complex navigation scheme.
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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 | 0.000 | 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 | 0.001 |
| 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 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".