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Record W2133018938 · doi:10.1145/569005.569006

Planning animation cinematography and shot structure to communicate theme and mood

2002· article· en· W2133018938 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 Analysis and Summarization
Canadian institutionsWestern University
Fundersnot available
KeywordsCinematographyAnimationNarrativeComputer scienceFraming (construction)MultimediaShot (pellet)Theme (computing)Plot (graphics)Pluralistic walkthroughHuman–computer interactionComputer graphics (images)Visual artsArtWorld Wide WebEngineeringUsability

Abstract

fetched live from OpenAlex

Standard techniques, such as soundtrack recording, storyboarding and key-framing, are used to create animation adaptations of narratives. Many aspects of the narrative, such as moods, themes, character motivations and plot, must he captured in the audio-visual medium. Our work focusses on achieving the communication of moods and themes solely through the application of well-known cinematography techniques. We present a planning system that transforms a description of animator intentions and character actions into a series of camera shots which portray these intentions. The planner accomplishes this portrayal by utilizing lighting, framing, camera motion, colour choice and shot pacing. The final output is an animation that is intended to produce a viewer impression to support the animator's description of the mood and theme of the narrative.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.927
Threshold uncertainty score0.196

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 science0.0000.000
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 head0.030
GPT teacher head0.248
Teacher spread0.218 · 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

Quick stats

Citations41
Published2002
Admission routes1
Has abstractyes

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