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Record W2104512634 · doi:10.1109/iscas.2005.1465518

Low Redundancy Layered Multiple Description Scalable Coding Using The Subband Extension Of H.264/AVC

2005· article· en· W2104512634 on OpenAlex

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
TopicAdvanced Data Compression Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer scienceMultiple description codingScalable Video CodingScalabilityContext-adaptive binary arithmetic codingRedundancy (engineering)Coding (social sciences)Packet lossAlgorithmic efficiencyCoding tree unitNetwork packetWirelessCodecComputer networkComputer engineeringReal-time computingAlgorithmDecoding methodsData compressionComputer hardwareTelecommunications

Abstract

fetched live from OpenAlex

The task of broadcasting video in wireless environments requires high coding efficiency in addition to reliable error resilience techniques. Existing solutions are set to tackle either coding efficiency and bandwidth utilization on the one hand, or error resilience and recovery from packet delay or loss on the other. We propose a novel combined approach to deal with the problem of video broadcast over wireless networks by offering a layered multiple description scalable coding (LMDSC) technique using the subband extension of H.264. This approach combines the high coding efficiency and layered structure of the subband extension of H.264/AVC along with the highly error resilient performance of multiple description coding (MDC) while virtually eliminating all redundancy between the transmitted video streams. Performance evaluations show that when faced with the same amount of packet loss, our approach achieves significant improvement in PSNR over existing methods.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.547
Threshold uncertainty score0.371

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 communication0.0000.001
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 head0.049
GPT teacher head0.289
Teacher spread0.240 · 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

Quick stats

Citations6
Published2005
Admission routes1
Has abstractyes

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