Rate-adaptive transmission of H.263 video for multicode DS/CDMA cellular systems in multipath fading
Bibliographic record
Abstract
The variable bit rate nature of compressed video remains a challenge to the transmission of real-time video over mobile CDMA cellular networks. Indeed, H.263 and MPEG-4 video bitstreams are characterized. by high peak rates and frequent rate variations, which are difficult to support in 2.5G and 3G mobile networks. In this paper, we propose a simple scheme which minimizes the peak transmission rate and its variance, which leads to a lower average bit-error rate (BER) and thus a higher received video quality. By introducing a small delay in the decoding process, the video output stream can be buffered at the video decoder end. We propose an algorithm which uses this buffering capability to perform real-time smoothing of the video stream. The transmitter then varies the number of codes assigned to the stream in order to support the remaining smaller rate variations. We simulate an end-to-end video communication system for the IS-95B uplink. It consists of an H.263 codec, an H.223 multiplexer and the physical layer components of the IS-95B standard. The transmitted signal is subject to multipath fading and multiple-access interference, obtained by simulating all the other users in the cell. Our joint smoothing/rate adaptation algorithm leads to a significant gain in the video quality scheme, as compared to previous approaches.
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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 | 0.002 | 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 | 0.001 | 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".