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From a Visual Scene to a Virtual Representation: A Cross-Domain Review

dc.contributor.authorPereira, Américo
dc.contributor.authorCarvalho, Pedro
dc.contributor.authorPereira, Nuno
dc.contributor.authorViana, Paula
dc.contributor.authorCôrte-Real, Luís
dc.date.accessioned2024-01-29T08:25:41Z
dc.date.available2024-01-29T08:25:41Z
dc.date.issued2023-06-14
dc.description.abstractThe widespread use of smartphones and other low-cost equipment as recording devices, the massive growth in bandwidth, and the ever-growing demand for new applications with enhanced capabilities, made visual data a must in several scenarios, including surveillance, sports, retail, entertainment, and intelligent vehicles. Despite significant advances in analyzing and extracting data from images and video, there is a lack of solutions able to analyze and semantically describe the information in the visual scene so that it can be efficiently used and repurposed. Scientific contributions have focused on individual aspects or addressing specific problems and application areas, and no cross-domain solution is available to implement a complete system that enables information passing between cross-cutting algorithms. This paper analyses the problem from an end-to-end perspective, i.e., from the visual scene analysis to the representation of information in a virtual environment, including how the extracted data can be described and stored. A simple processing pipeline is introduced to set up a structure for discussing challenges and opportunities in different steps of the entire process, allowing to identify current gaps in the literature. The work reviews various technologies specifically from the perspective of their applicability to an endto- end pipeline for scene analysis and synthesis, along with an extensive analysis of datasets for relevant tasks.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationA. Pereira, P. Carvalho, N. Pereira, P. Viana and L. Côrte-Real, "From a Visual Scene to a Virtual Representation: A Cross-Domain Review," in IEEE Access, vol. 11, pp. 57916-57933, 2023, doi: 10.1109/ACCESS.2023.3283495.pt_PT
dc.identifier.doi10.1109/ACCESS.2023.3283495pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/24734
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.subjectComputer vision; datasets; scene analysis; scene reconstruction; visual scene understandingpt_PT
dc.titleFrom a Visual Scene to a Virtual Representation: A Cross-Domain Reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage57933pt_PT
oaire.citation.startPage57916pt_PT
oaire.citation.titleIEEE Accesspt_PT
oaire.citation.volume11pt_PT
person.familyNamePereira
person.familyNameViana
person.givenNameNuno
person.givenNamePaula
person.identifier936138
person.identifier.ciencia-id7818-7C77-02BA
person.identifier.ciencia-idEA17-B097-BD2E
person.identifier.orcid0000-0001-6370-9373
person.identifier.orcid0000-0001-8447-2360
person.identifier.scopus-author-id8404645300
person.identifier.scopus-author-id7003678537
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication33fee0a6-53b7-45d5-9be3-f48b1c7064d1
relation.isAuthorOfPublication17ac1586-7589-4027-a541-3aea351fd6ae
relation.isAuthorOfPublication.latestForDiscovery17ac1586-7589-4027-a541-3aea351fd6ae

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