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Record W1912034795 · doi:10.1109/mmsp.2001.962789

MPEG-4 broadcast: a client/server framework for multi-service streaming using push channels

2002· article· en· W1912034795 on OpenAlexaff
Amr Mohamed, Hussein Alnuweiri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer scienceComputer networkMultimedia Broadcast Multicast ServiceService (business)Atomic broadcastArchitectureVideo serverApplication layerBroadcast domainMPEG-4Synchronization (alternating current)Broadcasting (networking)MulticastOperating system

Abstract

fetched live from OpenAlex

This paper presents the architecture and implementation of a multi-service streaming system for broadcast of MPEG-4 elementary streams. The proposed system promotes the use of the push channels model for information distribution. The system architecture accommodates two main layers for broadcast service management and media delivery. The broadcast service management layer uses the publisher-subscriber model for service announcement and clients' subscription. The proposed media delivery layer of the MPEG-4 media streams is based on the recommendations made by part 6 of the MPEG-4 standard, Delivery Multimedia Integration Framework (DMIF). However, the elementary specification of the standard's control plane for broadcast instance motivated the design of separate layer for broadcast service management. The paper also presents the contributive features that motivated our client/server implementation for broadcast of MPEG-4 streams including the "client random access", and the "inter-streams synchronization". These features allow clients to access the MPEG-4 media streams at any time during the presentation of the broadcast service.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.254
GPT teacher head0.412
Teacher spread0.158 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2002
Admission routes1
Has abstractyes

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