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iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations

arXiv (Cornell University)(2023)10.48550/arxiv.2303.03476Source: DataRank Database

iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations is a research paper published in arXiv (Cornell University) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Qisen Yang ORCID,Jiarui Shan ORCID,Tica Lin ORCID,Johanna Beyer ORCID,Haijun Xia ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4323650421

National Science Foundation

Grant: 2107328

III: Medium: Collaborative Research: Situated Visual Information Spaces

National Science Foundation

Grant: 1901030

III: Medium: Visually Interactive Neural Probabilistic Models of Language

National Institutes of Health

Grant: 1R01HD104969-01

Enhancing Assisted Reproductive Technologies with Deep Learning and Data Visualization

greenLicense: https://www.acm.org/publications/policies/copyright_policy#Background

repositoryhttps://arxiv.org/pdf/2303.03476

repositoryhttp://arxiv.org/abs/2303.03476

repositoryhttps://doi.org/10.48550/arxiv.2303.03476

https://doi.org/10.1145/3544548.3581266

https://dx.doi.org/10.48550/arxiv.2303.03476

Fields of Study

Video Analysis and SummarizationMultimedia Communication and TechnologyGaze Tracking and Assistive Technology05 social sciences0202 electrical engineering, electronic engineering, information engineering0501 psychology and cognitive sciences02 engineering and technology

Keywords

BasketballCasualContext (archaeology)GazeComputer scienceMultimediaHuman–computer interactionPsychologyArtificial intelligenceFOS: Computer and information sciencesComputer Science - GraphicsComputer Science - Human-Computer InteractionGraphics (cs.GR)Human-Computer Interaction (cs.HC)

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