Object-based fractal coding of video sequence
Bibliographic record
Abstract
Summary form only given. In order to realize the efficient and economical transmission/storage of video sequences, and also the object-based functionality of MPEG-4, we propose a new video sequence compression scheme. The CPM/NCIM fractal coding scheme is applied on each object independently by a prior image segmentation map (alpha plane) which is exactly the same as defined in MPEG-4. We encode the first frames of the video sequence as a "set" using circular prediction mapping (CPM) and encode the remaining frames using noncontractive interframe mapping (NCIM). The CPM and NCIM accomplish the motion estimation/compensation which can exploit the high temporal correlations between the adjacent frames of the video sequence. The tested results with a nature video sequence provides promising performances at low bit rate coding, such as applications in video conferencing. We believe it will be a powerful and efficient technique for object-based video sequence coding.
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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 | 0.001 | 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".