A MPEG-4 XMT scene structure algorithm for authentication and copyright protection
Bibliographic record
Abstract
With the emerging technology of the MPEG-4 XMT standard, highly and efficiently compressed MPEG-4 scenes, which can include images, video, audio, and 3D objects, can be easily built using the text-based XMT format. XMT allows content authors to exchange their content with other authors, tools, or service providers and facilitates interoperability with MPEG-4, X3D and SMIL. In order for authors and designers to protect their work, some form of security needs to be applied to the MPEG-4 XMT structure. Unlike images or videos, watermarking an XMT structure is not an easy task, since the structure contains no noise components to embed the watermark, and if the watermark was embedded, it can be easily detected and removed. This paper is the first one proposing a robust algorithm for authentication and protection of MPEG-4 XMT structured scenes.
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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 | 0.000 |
| 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 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".