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Real-time video watermarking techniques robust against re-encoding

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dc.contributor.authorYoo, GilSang-
dc.contributor.authorKim, Hyeoncheol-
dc.date.accessioned2021-09-03T02:41:20Z-
dc.date.available2021-09-03T02:41:20Z-
dc.date.created2021-06-16-
dc.date.issued2017-09-
dc.identifier.issn1861-8200-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/82487-
dc.description.abstractThis paper presents a real-time watermarking codec that is robust against re-encoding attacks for high-definition videos. The codec uses a segmentation function and texture detector techniques for applying real-time watermarking to human visual systems. Experimental results confirm that the proposed scheme satisfies the requirements of invisibility, real-time processing, and robustness against format conversion and low bit-rate encoding. The proposed algorithm has the advantages of simplicity, flexibility, and low computational burden; thus, it is a suitable candidate for many novel and interesting applications such as video fingerprinting for set-top boxes, Internet protocol television, personal video recorders, and satellite boxes.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER HEIDELBERG-
dc.subjectDOMAIN-
dc.titleReal-time video watermarking techniques robust against re-encoding-
dc.typeArticle-
dc.contributor.affiliatedAuthorYoo, GilSang-
dc.contributor.affiliatedAuthorKim, Hyeoncheol-
dc.identifier.doi10.1007/s11554-015-0557-8-
dc.identifier.scopusid2-s2.0-84949991794-
dc.identifier.wosid000411714000005-
dc.identifier.bibliographicCitationJOURNAL OF REAL-TIME IMAGE PROCESSING, v.13, no.3, pp.467 - 477-
dc.relation.isPartOfJOURNAL OF REAL-TIME IMAGE PROCESSING-
dc.citation.titleJOURNAL OF REAL-TIME IMAGE PROCESSING-
dc.citation.volume13-
dc.citation.number3-
dc.citation.startPage467-
dc.citation.endPage477-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.subject.keywordPlusDOMAIN-
dc.subject.keywordAuthorReal-time watermarking-
dc.subject.keywordAuthorImage segmentation-
dc.subject.keywordAuthorHuman visual system-
dc.subject.keywordAuthorFormat conversion-
dc.subject.keywordAuthorRe-encoding-
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