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dc.contributor.author문영식-
dc.date.accessioned2019-05-22T01:08:08Z-
dc.date.available2019-05-22T01:08:08Z-
dc.date.issued2018-01-
dc.identifier.citation2018 International Workshop on Advanced Image Technology (IWAIT), Page. 176-179en_US
dc.identifier.isbn978-1-5386-2615-3-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8369777-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/105328-
dc.description.abstractIn this paper, we propose a fast and effective method for shot-based keyframe selection. The proposed method is based a visual image quality evaluation using image contrast and motion blur measures. The main purpose of this paper is to provide good keyframes to viewers fast and effectively. Therefore, we adopt fast and effective approaches instead of heavy timeconsuming and complex approaches. Experimental results show that the proposed method fast and effectively selects a good keyframe in each video shot.en_US
dc.description.sponsorshipThis work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea govemment(MSIT) (2015-0-00219, Development of smart broadcast service platform based on semantic cluster to build an open-media ecosystem).en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectkeyframe selectionen_US
dc.subjectimage evaluationen_US
dc.subjectmotionen_US
dc.subjectimage contrasten_US
dc.titleEffective Shot-based Keyframe Selection by using Image Quality Evaluationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/IWAIT.2018.8369777-
dc.relation.page176-179-
dc.contributor.googleauthorLee, Jong Min-
dc.contributor.googleauthorYang, Hyeon Seok-
dc.contributor.googleauthorMoon, Young Shik-
dc.contributor.googleauthorKim, Seung-Hee-
dc.contributor.googleauthorKim, Sun-Joong-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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