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dc.contributor.author문영식-
dc.date.accessioned2019-08-20T04:26:31Z-
dc.date.available2019-08-20T04:26:31Z-
dc.date.issued2006-11-
dc.identifier.citationInternational Workshop on Digital Watermarking; IWDW 2006: Digital Watermarking, Page. 397-406en_US
dc.identifier.isbn978-3-540-48825-5-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/11922841_32-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/108790-
dc.description.abstractIn this paper, we propose an adaptive blind video watermarking method using video characteristics based on human visual system (HVS) in three-dimensional discrete cosine transform (3D-DCT) domain. In order to optimize the weight factors for watermarking, we classify the patterns of 3D-DCT cubes and the types of video segments by using the texture and motion information of 3D-DCT cubes. Then we embed an optimal watermark into the mid-range coefficients of 3D-DCT cubes by using the trained optimal weight factors. Experimental results show that the proposed method achieves better performance in terms of invisibility and robustness than the previous method under the various possible attacks such as MPEG compression, frame dropping, frame insertion and frame swapping to experimental videos.en_US
dc.language.isoen_USen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.titleAdaptive Video Watermarking Utilizing Video Characteristics in 3D-DCT Domainen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/11922841_32-
dc.relation.journalLECTURE NOTES IN COMPUTER SCIENCE-
dc.contributor.googleauthorPark, Hyun-
dc.contributor.googleauthorLee, Sung Hyun-
dc.contributor.googleauthorMoon, Young Shik-
dc.relation.code2007206327-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
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COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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