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OpenISS as a Near-Realtime Composable Broadcast Service for Performing Arts and Beyond

2020· article· en· W3114489350 on OpenAlexaff
Serguei A. Mokhov, Jashanjot Singh, Haotao Lai, Konstantinos Psimoulis, Joey Paquet

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsConcordia University
Fundersnot available
KeywordsComputer scienceScalabilityMultimediaSuiteSOAPRest (music)Service (business)The InternetArchitectureGraphicsWorld Wide WebComputer graphics (images)Operating system

Abstract

fetched live from OpenAlex

Open Illimitable Space System (OpenISS) is a suite of graphics and motion capture libraries and the poised open source core for Illimitable Space System v2 (ISSv2), which typically is deployed for multimodal interaction and provides a platform for artists to enhance their performance by leveraging modern day technology on stage. Recently, we extended the OpenISS by enabling SOAP and REST APIs, to make it more flexible and scalable architecture being available as a service for broadcasting over the Internet. We share our experience regarding turning a depth camera (Kinect) and OpenCV as services (both SOAP and REST) within the OpenISS framework. With such services, we are able to request images or even video frames with different effects applied to the same scene in near-real-time and rendered within end-users browsers or other clients that consume REST or SOAP APIs. This work is built as an application on top of various kinds of libraries and techniques included in OpenISS, such as OpenCV, freenect, fakenect, openFrameworks as components.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score0.776

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.359
Teacher spread0.286 · 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 teacher head, not a consensus.

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

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
Published2020
Admission routes1
Has abstractyes

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