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Record W4408016741 · doi:10.1109/iotm.001.2400163

Holographic Video Communication: Principle, Applications and Open Issues

2025· article· en· W4408016741 on OpenAlexaff
Gaojian Huang, Weidong Wang, Ming Zeng, Wanming Hao, Zhengyu Zhu, Jianhe Du

Bibliographic record

VenueIEEE Internet of Things Magazine · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Imaging Technologies
Canadian institutionsUniversité Laval
FundersHenan Provincial Science and Technology Research ProjectChina Postdoctoral Science Foundation
KeywordsHolographyComputer scienceComputer graphics (images)MultimediaOpticsPhysics

Abstract

fetched live from OpenAlex

Advancements in optics, computational algorithms, and display technologies have paved the way for holographic video communication (HVC), which surpasses the limitations of traditional communication methods and is poised to be a key component of the sixth generation mobile communication technology (6G) vision outlined by the International Mobile Telecommunications (IMT) for 2030. Achieving high bandwidth, low latency, strong security, and substantial computing power required by HVC is essential for its realization. On the basis of the development process and work principle of HVC, we point out the network conditions required for HVC in this work. We also innovatively depict typical application scenarios of HVC in future wireless communication, and propose current technologies that can assist HVC. Additionally, we identify the challenges and future development directions faced by HVC in the context of future wireless communication.

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: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0040.006
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.303
Teacher spread0.290 · 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
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

Citations1
Published2025
Admission routes1
Has abstractyes

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