Unified Concept-BasedMultimedia Information Retrieval

System Using Deep LearningProcess With Ontology

by Ridwan Andi Kambau

Submission date: 22-Mar-2020 06:33PM (UTC+0700)Submission ID: 1279604007File name: 3Vol97No18.pdf (1.14M)Word count: 8763Character count: 48097

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Unified Concept-Based Multimedia Information Retrieval SystemUsing Deep Learning Process With OntologyORIGINALITY REPORT

PRIMARY SOURCES

eprints.perbanas.ac.idInternet Source

Ridwan Andi Kambau, Zainal Arifin Hasibuan."Concept-based Multimedia InformationRetrieval System using ontology search inCultural heritage", 2017 Second InternationalConference on Informatics and Computing(ICIC), 2017Publication

Ridwan Andi Kambau, Zainal Arifin Hasibuan,M.Octaviano Pratama. "Classification forMultiformat Object of Cultural Heritage usingDeep Learning", 2018 Third InternationalConference on Informatics and Computing(ICIC), 2018Publication

Ridwan Andi Kambau, Zainal Arifin Hasibuan."Evolution of information retrieval system:Critical review of multimedia information retrievalsystem based on content, context, and

5 1%

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concept", 2017 11th International Conference onInformation & Communication Technology andSystem (ICTS), 2017Publication

Ridwan Andi Kambau, Zainal Arifin Hasibuan."Unified concept-based multimedia informationretrieval technique", 2017 4th InternationalConference on Electrical Engineering, ComputerScience and Informatics (EECSI), 2017Publication

Sunhyuck Kim, Jaeyeon Ahn, Juhee Suh,Hayun Kim, Jungwha Kim. "Towards a semanticdata infrastructure for heterogeneous CulturalHeritage data - challenges of Korean CulturalHeritage Data Model (KCHDM)", 2015 DigitalHeritage, 2015Publication

www.science.govInternet Source

denigma.deInternet Source

Alex Krizhevsky, Ilya Sutskever, Geoffrey E.Hinton. "ImageNet classification with deepconvolutional neural networks",Communications of the ACM, 2017Publication

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