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DC poleHodnotaJazyk
dc.contributor.authorKremer, Robin
dc.contributor.authorHerfet, Thorsten
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-17T13:51:36Z
dc.date.available2023-10-17T13:51:36Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 90-99.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54414
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectsvětelná polecs
dc.subjectvýpočetní fotografiecs
dc.subjectsémantická analýzacs
dc.subjectinformační obsahcs
dc.subjectMPEG-Ics
dc.titleSAIL: Semantic Analysis of Information in Light Fields: Results from Synthetic and Real-World Dataen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedComputational photography has revolutionized the way we capture and interpret images. Light fields, in particular, offer a rich representation of a scene’s geometry and appearance by encoding both spatial and angular information. In this paper, we present a novel approach to light field analysis that focuses on semantics. In contrast to the uniform distribution of samples in two-dimensional images, the distribution of samples in light fields varies for different scene regions. Some points are sampled from multiple directions, while others may only be captured by a small portion of the light field array. Our approach provides insights into this non-uniform distribution and helps guide further processing steps to fully leverage the available information content.en
dc.subject.translatedlight fieldsen
dc.subject.translatedcomputational photographyen
dc.subject.translatedsemantic analysisen
dc.subject.translatedinformation contenten
dc.subject.translatedMPEG-Ien
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.12
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2023: Full Papers Proceedings

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