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Record W2106935133 · doi:10.1109/ismar.2007.4538858

Webtag: A World Wide Internet Based AR System

2007· article· en· W2106935133 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
TopicAugmented Reality Applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsComputer scienceIdentifierThe InternetUnique identifierAnimationAugmented realityWorld Wide WebComputer graphics (images)Human–computer interactionComputer network

Abstract

fetched live from OpenAlex

Webtag is a marker based system where every marker contains an internationally unique identifier which links to 2D or 3D content from a user's Website. A two stage design combines the basic 10-bit ID (tier-1 ID) of the current ARTag system which is used for pose tracking when the marker is far away, and a smaller and dense array of extra bits allow an additional 32 bits (tier-2 ID) to be recognized when the camera is close. A user brings his/her AR device close to the marker such that the tier-2 ID is read, and then the IDs are mapped to a web address from which the augmenting model, image, or animation is loaded. Thereafter the content is rendered relative to the tier-1 ID which can be seen at greater distances. This allows a user anywhere on internet to access augmented content printed in magazines, seen on posters, etc. Webtag is a prototype system that may allow large scale acceptance of AR by the public.

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 score0.974
Threshold uncertainty score0.627

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 communication0.0000.000
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 head0.015
GPT teacher head0.247
Teacher spread0.232 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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