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Record W2103538377 · doi:10.1109/icip.1997.638618

Efficient RD optimized macroblock coding mode selection for MPEG-2 video encoding

2002· article· en· W2103538377 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
TopicVideo Coding and Compression Technologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMacroblockComputer scienceEncoderCoding tree unitData compressionContext-adaptive binary arithmetic codingCoding (social sciences)Rate–distortion theoryMultiview Video CodingBitstreamContext-adaptive variable-length codingAlgorithmReal-time computingArtificial intelligenceDecoding methodsVideo trackingVideo processingMathematics

Abstract

fetched live from OpenAlex

The MPEG-2 bitstream syntax offers a great variety of coding mode options for encoding a macroblock. We present an MPEG-2 compliant interlaced video encoder that employs an efficient macroblock coding mode selection method. The macroblock coding mode is selected based on a rate-distortion criterion. However, a computational analysis as well as predictive and statistical modeling techniques are introduced that lead to substantially better computation-performance trade-offs. The proposed MPEG-2 video encoder is shown experimentally to be better than the MPEG-2 TM5 encoder in both compression performance and computation requirements, simultaneously.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.642

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 head0.032
GPT teacher head0.262
Teacher spread0.229 · 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