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61.1: <i>Invited Paper</i> : How High‐Frame‐Rate Dual‐Projector 3D Made Its Movie Debut at the World Premiere of The Hobbit

2014· article· en· W2055111006 on OpenAlexaff
Terry C. Schmidt

Bibliographic record

VenueSID Symposium Digest of Technical Papers · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsChristie (Canada)
Fundersnot available
KeywordsDual (grammatical number)LuminanceShot (pellet)ProjectorFrame (networking)Projection (relational algebra)Computer graphics (images)Frame rateComputer scienceComputer visionMotion (physics)Image (mathematics)Artificial intelligenceArtTelecommunicationsLiteratureAlgorithm

Abstract

fetched live from OpenAlex

Abstract Peter Jackson's The Hobbit, was the first wide release motion picture to be shot and projected in High Frame Rate 3D worldwide. This paper describes the significant technical differences that affected production, distribution and the projection of this new and superior image quality format. The world premiere in New Zealand, and subsequent events in Tokyo and London all used Dual Projection systems for increased luminance and highest 3D image quality possible.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.081
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0810.047

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 head0.009
GPT teacher head0.193
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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Same venueSID Symposium Digest of Technical PapersSame topic3D Surveying and Cultural HeritageFrench-language works237,207