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Record W4377997021 · doi:10.2352/cic.2001.9.1.art00063

DLP Cinema™ Technology: Color Management and Signal Processing

2001· article· en· W4377997021 on OpenAlexaboutno aff
Greg Pettitt, Brad Walker

Bibliographic record

VenueColor and Imaging Conference · 2001
Typearticle
Languageen
FieldComputer Science
TopicComputer Graphics and Visualization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterColor managementProjection (relational algebra)Computer scienceComputer graphics (images)Digital Light ProcessingComputer visionArtArt historyColor space

Abstract

fetched live from OpenAlex

In June 1999, Texas Instruments partnered with Lucasfilm to premier the first fully digital release of a major motion picture. “Star Wars: Episode 1 - The Phantom Menace” was shown at two theaters with DLP Cinema™ projection technology. Subsequently, field trials of DLP Cinema™ prototype projectors have been conducted in over 40 theaters in the U.S., Canada, Europe and Japan, with an audience of over 2.5 million. Results of these field trials are currently being incorporated into designs for volume production.Key to the performance of DLP Cinema™ projection systems is the linearity and stability of the DMD. The DMD's method of accurate digital data display is described and in-theater measurement data is presented. The system stability and linearity are then utilized in the development of a color management methodology for the distribution and playback of content. This paper provides an overview of DLP Cinema™ projection technology, with emphasis on color management and signal processing.

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)0.002
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.060
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0600.019

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 head0.022
GPT teacher head0.286
Teacher spread0.265 · 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
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

Citations1
Published2001
Admission routes1
Has abstractyes

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