Exploiting artificial intelligence for digitally enriched museum visits.
Machine learning is constantly proving its capabilities by achieving exceptional results in recognition and classification tasks. Image content recognition has been addressed by Bags of Visual Words coupled with a classification algorithm as well as convolutional neural networks. In this work, we qu...
| Publicado en: | Journal of Cultural Heritage Vol. 42; pp. 171 - 181 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Mar2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=142687238&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 142687238 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12962074 KK8 jtl: Journal of Cultural Heritage issn: 12962074 maglogo: N pubinfo: dt: Mar2020 vid: 42 pid: 467 pub: Elsevier B.V. artinfo: ui: 142687238 10.1016/j.culher.2019.07.019 ppf: 171 ppct: 10 formats: tig: atl: Exploiting artificial intelligence for digitally enriched museum visits. aug: au: Ioannakis, George Bampis, Loukas Koutsoudis, Anestis affil: Multimedia Research Group, Athena Research and Innovation Centre, Xanthi's Division, Xanthi 67100, Greece Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi 67100, Greece Department of Production and Management Engineering, Democritus University of Thrace, Xanthi 67100, Greece su: Artificial neural networks Artificial intelligence Museum exhibits Image recognition (Computer vision) Machine learning sug: subj: Artificial neural networks Artificial intelligence Museum exhibits Image recognition (Computer vision) Machine learning keyword: Augmented reality Bags of Visual Words Convolution neural networks Cultural thesaurus interaction Supervised learning ab: Machine learning is constantly proving its capabilities by achieving exceptional results in recognition and classification tasks. Image content recognition has been addressed by Bags of Visual Words coupled with a classification algorithm as well as convolutional neural networks. In this work, we question the applicability of these approaches individually, while proposing two novel hybrids that work in a cooperative and synergistic way in order to achieve better content recognition performances. We focus on a real-world scenario that involves the on-demand digital content enrichment of a museum-visit experience by exploiting mobile devices. The Folklore Museum of Xanthi (Greece) has been selected as our case study. A new benchmark image dataset has been created based on the museum exhibits and used to train our recognition approaches and to quantify their performance under independent, cooperative, and synergistic operational schemata. The experiments reveal that our hybrid approaches improve the recognition performance while composing a robust framework for applications related to cultural thesaurus interaction and more specifically to the on-demand digital content enrichment with minimum infrastructure requirements. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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