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Record W2153735711 · doi:10.1109/icicic.2006.394

A Novel Shape Coding Scheme For MPEG-4 Visual Standard

2006· article· en· W2153735711 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 Northern British Columbia
Fundersnot available
KeywordsContext-adaptive binary arithmetic codingComputer scienceCoding (social sciences)Data compressionTransform codingQuadtreeArtificial intelligenceComputer visionMPEG-4Coding tree unitContext-adaptive variable-length codingVariable-length codeAlgorithmPixelMathematicsDecoding methodsDiscrete cosine transform

Abstract

fetched live from OpenAlex

MPEG-4 standard is an object based coding scheme. Shape representation is a new feature in MPEG-4, which specifies objects’ opaque characteristics. In this paper, we propose a novel shape coding scheme for MPEG-4 visual standard. The proposed coding scheme segments a binary alpha plane (BAP) into a number of binary alpha blocks (BAB) of varying sizes based on the opaque or transparent nature of a video object. The segmentation is done through a quadtree structure. The two-dimensional redundancy within a non-homogeneous BAB are exploited by removing the consecutive identical rows and columns of pixels. At the end, zigzag scan and arithmetic coding are adopted to achieve better compression. The proposed scheme bypasses the overhead in computation of an intermediate contour representation and its associated conversions. Experimental results show that the proposed coding scheme has an overall better compression performance than some other advanced coding techniqu

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score0.383

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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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