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Record W2139135001 · doi:10.1109/ccece.2002.1013060

Low power embedded memory architecture for video object decoding in MPEG4 simple profile

2003· article· en· W2139135001 on OpenAlexaff
Mohammed S. Sayed, Wael Badawy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVideo Coding and Compression Technologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMotion compensationComputer scienceQuarter-pixel motionVideo trackingBlock-matching algorithmComputer visionDecoding methodsMotion vectorCMOSArtificial intelligenceComputer hardwareTopology (electrical circuits)Computer graphics (images)Video processingAlgorithmElectronic engineeringEngineeringImage (mathematics)

Abstract

fetched live from OpenAlex

MPEG-4 simple profile enables the use of 2D mesh for video object motion tracking. The deformation of the video object is expressed in terms of the motion vectors of the mesh topology. The mesh-based motion tracking generates a mesh topology and set of motion vectors that represents the dynamics of the video object. The motion compensation is to predict the video object using texture mapping. This paper presents an embedded memory architecture for MPEG-4 applications. The proposed memory architecture uses the mesh based motion compensation for MPEG-4 video stream decoding. It uses a simplified affine transformation algorithm. The memory architecture is prototyped, simulated and synthesized for 0.35 /spl mu/m CMOS technology using TSMC standard cells and the Dvp/sup 2/ custom cells.

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 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)0.001
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.775
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations0
Published2003
Admission routes1
Has abstractyes

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