Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 박성한 | - |
| dc.date.accessioned | 2021-02-16T00:23:51Z | - |
| dc.date.available | 2021-02-16T00:23:51Z | - |
| dc.date.issued | 2001-06 | - |
| dc.identifier.citation | 대한전자공학회 종합 학술 대회 논문집 (하계) 2001, Vol.4 : 신호 처리 소사이어티, v. 24, no. 1, page. 109-112 | en_US |
| dc.identifier.uri | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06329720 | - |
| dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/158220 | - |
| dc.description.abstract | This paper proposes a method to classify different video contents using features of digital video. Classified video types are the news, drama, show, sports and talk program. Features such as intra-coded macroblock number & motion vector in P--picture in MPEG domain are used. The frame difference of YCbCr is also employed as a measure of classification. We detect the occurrences of cuts in a video for a measure of classification. Finally, back-propagation neural-network of 3 layers is used to classify vicep contents. | en_US |
| dc.description.sponsorship | 본 연구는 한국과학재단 목적기초연구(2000-2-303-005-3) 지원으로 수행되었음. | en_US |
| dc.language.iso | ko_KR | en_US |
| dc.publisher | 대한전자공학회 | en_US |
| dc.title | 신경망을 이용한 효율적인 비디오 컨텐츠 분류 방법 | en_US |
| dc.title.alternative | An Effective Classification Method of Video Contents Using a Neural-Network | en_US |
| dc.type | Article | en_US |
| dc.relation.journal | 전자공학회논문지 | - |
| dc.contributor.googleauthor | 이후형 | - |
| dc.contributor.googleauthor | 전승철 | - |
| dc.contributor.googleauthor | 박성한 | - |
| dc.relation.code | 2012101087 | - |
| dc.sector.campus | E | - |
| dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
| dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
| dc.identifier.pid | shpark5191 | - |
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