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Video Captioning Using Global-Local Representation

IEEE Transactions on Circuits and Systems for Video Technology(2022)10.1109/tcsvt.2022.3177320Source: DataRank Database

Video Captioning Using Global-Local Representation is a research paper published in IEEE Transactions on Circuits and Systems for Video Technology (2022). On theSindex it has a DataRank of 0. It has been cited 109 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access109 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 8.24)OA: greenTopics (19)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Siqi Ma ORCID,Qifan Wang ORCID,Yingjie Chen ORCID,Xiangyu Zhang ORCID,Andreas Savakis ORCID

Live enrichment

PubMed:37215187 OpenAlex:https://openalex.org/W4285118488

U.S. National Institute of Health

Grant: 1R25EY029127

FWCI

8.24

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

2026

greenLicense: https://doi.org/10.15223/policy-029

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10198123/pdf/nihms-1840658.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/76/9910246/09780119.pdf?arnumber=9780119

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10198123

journalhttps://doi.org/10.1109/tcsvt.2022.3177320

Fields of Study

Multimodal Machine Learning ApplicationsHuman Pose and Action RecognitionVideo Analysis and Summarization

Keywords

Closed captioningComputer scienceEncoderVocabularyTask (project management)Representation (politics)GranularityFeature (linguistics)Artificial intelligenceMargin (machine learning)SentenceFeature learningNatural language processingNatural languageMachine learningImage (mathematics)

Sustainable Development Goals

SDG 0: Quality Education