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Record W2111438680 · doi:10.1109/jstsp.2010.2052236

Frame Rate Converter With Pixel-Based Motion Vectors Selection and Halo Reduction Using Preliminary Interpolation

2010· article· en· W2111438680 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

VenueIEEE Journal of Selected Topics in Signal Processing · 2010
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Image Processing Techniques
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsInterpolation (computer graphics)PixelMotion vectorArtificial intelligenceComputer scienceComputer visionHaloMotion estimationFrame rateBlocking (statistics)Stairstep interpolationBlock (permutation group theory)Frame (networking)Reduction (mathematics)MathematicsMultivariate interpolationBilinear interpolationImage (mathematics)Physics

Abstract

fetched live from OpenAlex

A new two-image-based method for frame rate conversion is proposed to reduce blocking, halo, and flickering artifacts. For blocking effects, a pixel-based motion vector (MV) selection is suggested based on neighboring block-based motion vectors. For halo reduction, after a preliminary image interpolation, MV at each pixel is re-estimated using the interpolated intensities and the MV of the current pixel and its neighbors constrained in adaptive sliding windows. Experimental results showed that the proposed method outperforms objectively and subjectively in comparison with some existing interpolation techniques.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.266
Teacher spread0.253 · 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