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Record W1987272464 · doi:10.1117/12.384476

Bandwidth reduction for stereoscopic video signals

2000· article· en· W1987272464 on OpenAlex
Wa James Tam, Lew B. Stelmach, Daniel V. Meegan, A. Vincent

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

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Typearticle
Languageen
FieldComputer Science
TopicImage and Video Quality Assessment
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsComputer scienceComputer visionImage qualityStereoscopyArtificial intelligenceBandwidth (computing)CodecImage resolutionComputer hardwareImage (mathematics)Telecommunications

Abstract

fetched live from OpenAlex

The bandwidth required to transmit stereoscopic video signals is nominally twice that required for standard, monoscopic images. An effective method of reducing the required bandwidth is to code the two video streams asymmetrically. We assessed the impact of this bandwidth- reduction technique on image quality and overall sensation of depth. Images from the right-eye stream were spatially filtered on image quality and overall sensation of depth. Images from the right-eye stream were stream were spatially filtered to half and quarter resolution. Subsequently, the images were processed using an MPEG-2 codec at bit-rates of 6, 2, and 1 Mbit/s. Subjects assessed image quality and depth using a double-stimulus, continuous-quality scale method. It was found that perceived depth was relatively robust to spatial filtering and bit-rate reduction. Image quality was affected more by bit-rate reduction than by spatial filtering and, at the lower bit rates, ratings were much higher for stereoscopic than for non-stereoscopic sequences. The results indicate that asymmetrical coding of stereoscopic sequences can be an effective means of reducing bandwidth for storage and transmission.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.597
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.264
Teacher spread0.247 · 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