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Record W2134858011 · doi:10.1109/icme.2002.1035705

Hierarchical adaptive control scheme for video streaming over Internet

2002· article· en· W2134858011 on OpenAlex
Linsong Cai, Xiao Liu, Wael Badawy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVideo Coding and Compression Technologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputer scienceComputer networkPacket lossNetwork packetScheme (mathematics)The InternetReal-time computingVideo streamingData compressionProcess (computing)Adaptive controlControl (management)Algorithm

Abstract

fetched live from OpenAlex

Delivering video streaming over a varying network requires high ratio compression and efficient transmission. We propose a new control scheme for video streaming strategy over an IP network. It uses a hierarchical adaptive merging splitting mesh (HAMSM) and hierarchical adaptive control protocol (HACP) to process and transmit video. The combination of HAMSM and HACP offers a reliable, adaptive and minimized video streaming scheme over an IP network. Furthermore, the network packet loss rate is considered in rate adaptation so that the end-to-end distortion is reduced. The proposed system is prototyped and simulated. The performance analysis shows that the prototyped system is reliable and effective in a high loss rate network.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.248
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it