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dc.contributor.author문영식-
dc.date.accessioned2023-08-21T07:02:03Z-
dc.date.available2023-08-21T07:02:03Z-
dc.date.issued2014-06-
dc.identifier.citationIEEE International Symposium on Consumer Electronics, article no. 6884528, Page. 1-2-
dc.identifier.issn2158-3994;2158-4001-
dc.identifier.urihttps://ieeexplore.ieee.org/document/6884528en_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/185551-
dc.description.abstractIn this paper, a new method of detecting text regions from video sequences, without prior knowledge such as font, color, size of characters is proposed. By analyzing the characteristics of text regions in video sequences, we found that text regions include both horizontal and vertical edges simultaneously, while background regions do not. Therefore, In order to detect text regions accurately, the detection of candidate object regions through 1D-DCT and an adaptive thresholding technique are proposed. Experimental results have shown that the proposed method successfully detects text regions regardless of environmental conditions such as low contrast, complex texture, and various colors and sizes. © 2014 IEEE.-
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012002464) and Samsung Electronics.-
dc.languageen-
dc.subjectDiscrete cosine transform-
dc.subjectHorizontal and vertical edge maps-
dc.subjectText detection-
dc.titleText detection in video sequence using 1-D DCT-
dc.typeArticle-
dc.identifier.doi10.1109/ISCE.2014.6884528-
dc.relation.page1-2-
dc.relation.journalIEEE International Symposium on Consumer Electronics-
dc.contributor.googleauthorDo Kyoung Shin-
dc.contributor.googleauthorJong Min Lee-
dc.contributor.googleauthorYong Min Kim-
dc.contributor.googleauthorYoung Shik Moon-
dc.contributor.googleauthorKi Tae Park-
dc.sector.campusE-
dc.sector.daehak소프트웨어융합대학-
dc.sector.department소프트웨어학부-
dc.identifier.pidysmoon-
dc.identifier.article6884528-
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COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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