Seamless video handoff in session mobility over the IMS network
Why this work is in the frame
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Bibliographic record
Abstract
Providing seamless handoff in session mobility is a challenging, and vital, issue relating to the heterogeneous next generation all-IP networks. The research work outlined by this paper describes a solution to support seamless video handoff in session mobility over IP multimedia subsystem (IMS) networks. Our system is built on top of an IMS network, which we believe to be the best platform for session mobility deployment, as it merges mobility and Internet services. The system combines two techniques to achieve seamless video handoff: It uses the SIP REFER method, with a proposed prediction handoff manager that predicts the required handoff time to transfer the session completely. The proposed system is implemented using PJSIP framework, an open source of SIP. Results show effective seamless handover in session mobility over IMS networks.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it