A 3GPP 4G Evolved Packet Core-based system architecture for QoS-enabled mobile video surveillance applications
Bibliographic record
Abstract
Mobile video surveillance applications have become ubiquitous and are used in both civilian and military settings. They enable the capture, storage and transmission of video images over the Internet or other networks. This paper proposes a novel system architecture for mobile video surveillance applications. We leverage the 3GPP 4G Evolved Packet Core (EPC) to enable features such as guaranteed quality of service (QoS), which is not possible with the Internet, and even differentiated QoS, which is not possible with the other networks currently used in mobile video applications. The key components of our proposed architecture are the service development platform (SDP) and the machine to machine (M2M) gateway. The SDP enables the development and management of QoS-enabled mobile video surveillance applications. The M2M gateway enables interactions with the M2M devices, such as motion detectors and cameras. We have built a prototype with the Fraunhofer Fokus OpenEPC as 3GPP 4G EPC infrastructure and three AXIS network cameras as M2M devices. The architecture is presented along with the prototype. Related work is also reviewed.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".