Progressive compression and transmission of images: Experimental evaluation over Visual Sensor Networks
Bibliographic record
Abstract
The performance of the progressive compression and the transmission of images over Visual Sensor Networks (VSN) has been experimentally evaluated. This was performed through a real testbed based on Imote2 sensors and an IMB400 camera. In fact, by using the Progressive-JPEG (P-JPEG), an image was encoded into several scans. When the image is being sent, these scans are transmitted one by one, providing the observer with a gradual coarse-to-fine view of the image. This helps reducing the energy consumption of the whole network as well as the display time of the visualized image at the base station. For that purpose, a VSN testbed based on Imote2 and IMB400 nodes was developed. To provide P-JPEG compression capabilities and to support the IMB400 camera node, TinyOs applications were developed. Extensive sets of experiments were conducted to show the efficiency of P-JPEG over the baseline JPEG.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".