Image transcoding proxy for mobile Internet access
Bibliographic record
Abstract
With advances in wireless and portable devices technologies, a new paradigm called mobile computing is promising to make it possible for mobile users to access information "anywhere anytime". This paradigm, however, faces many technical challenges such as limited wireless bandwidth and high error rate. Moreover, mobile devices widely differ with respect to display size, color depth, processing power, battery life, and the ability to handle different data formats. In this paper we introduce an image transcoding proxy that we believe is fundamental to providing inline image access for a variety of clients. The central idea is to place a transcoding proxy between the generic WWW servers and the diversity of client devices in order to adapt to a greatly changing bandwidth on the proxy-client link and to manage the heterogeneity of small-screened mobile devices. Our proxy significantly improves image transmission by applying transcoding functions based on the communication conditions, client device capabilities, and user preferences. It also enables clients with similar display capabilities and bandwidth connectivity to share the transcoded images available in the cache.
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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".