• Title/Summary/Keyword: content-based metadata

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A Study on Constructing a Digital Archive System of the Modern Korean Christian Collections (근대 한국기독교 자료의 디지털 아카이브 시스템 구축에 관한 연구)

  • Yang, Ji-Ann
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.681-691
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    • 2022
  • The purpose of this study is to construct a digital archive system by analyzing the collections of the Korean Christian Museum at S University, which has a large number of materials related to Korean Christianity published in the modern period from the time of Korea's enlightenment until liberation. In order to construct a digital archive system, indexes and metadata for the collection are complied according to the pre-defined format. After digitizing the selected collection, a database is built using metadata information, and the actual system is divided into a web standard-based management system and a user service system. Also a content-based search system is constructed, which provides the matching value of retrieval results in units of one character and an automatic search term completion function to enhance user convenience. Therefore, collections in the museum, which are difficult to access the original text, are digitized and provided so that they can be easily used, laying the foundation for the long-term development of humanities contents for improving the accessibility and availability of collections for both researchers and the public.

Efficient Film Post Production Process using Metadata on the eXtensible Markup Language (eXtensible MarkUp Language (XML) 기반 메타데이터를 활용한 효율적인 영화 후반 제작과정)

  • Lim, Young-Hoon;Kim, Chul-Hyun;Paik, Joon-Ki
    • Journal of Broadcast Engineering
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    • v.16 no.3
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    • pp.439-447
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    • 2011
  • In this paper, we present a novel method to use metadata based on the eXtensible Markup Language (XML) for efficient data transfer between visual effects (VFX) and film editing. For transferring data to the VFX process, image sequences such as Cineon DPX or TGA are currently used in Korean post productions. The use of image sequences tends to increase rendering time and the amount of data for repetitive file format conversions, and as a result causes inefficiency in the entire production process. On the other hand, the use of metadata on the XML can reduce time and data because the repetitive rendering processes are not needed. This method can also be used at a variety of editing and VFX programs, and provides content information for combining online contents. The development of XML-base methods on the web enables flexible combination with other types of media.

Content-based Video Indexing and Retrieval System using MPEG-7 Standard (MPEG-7 표준에 따른 내용기반 비디오 검색 시스템)

  • 김형준;김회율
    • Journal of Broadcast Engineering
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    • v.9 no.2
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    • pp.151-163
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    • 2004
  • In this paper, we propose a content-based video indexing and retrieval system using MPEG-7 standard to retrieve and manage videos efficiently. The proposed system consists of video indexing module for a video DB and video retrieval module to allow various query methods on a web environment. Video indexing module stores metadata such as manually typed in keywords, automatically recognized character names, and MPEG-7 visual descriptors extracted by indexing module into a DB in a sever side. A user can access to retrieval module by a web and retrieve desired videos through various query methods like keywords, faces, example and sketch. For this retrieval system, we propose ATC(Adaptive Twin Comparison) as a cut detection method for efficient video indexing and QBME(Query By Modified Example) as an improved content-based query method for the convenience of users. Experimental results show that the proposed ATC method detects cuts well and the proposed QBME method provides the conveniences better than existing query methods such as QBE(Query By Example) and QBS(Query By Sketch).

A Study on e-Learning System Based on Learning Content Standard in Model Driven Architecture

  • Song, Yu-Jin;Cho, Hyen-Suk
    • 한국정보컨버전스학회:학술대회논문집
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    • 2008.06a
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    • pp.205-208
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    • 2008
  • Contents application from contents development of web technical base and with the operation different environment information of the educational resources integration the importance and necessity of the management central chain e-Learning system will be able to operate are raising its head with base. Is the actual condition which develops the development process where but, the education application currently is not standardized in base. Approaches with an educational domain from the present paper consequently, and defines MDA(Model Driven Architecture) coats e-Learning System. Also uses a studying contents standard metadata and about the contents storage space analyzes and plans the core property which uses MDA automatic tools leads and under developing boil e-Learning System will be able to provide the contents which does in actual professor own necessity.

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Design of Content-based Image Database Using XML (XML을 이용한 내용기반 이미지 데이타베이스의 설계)

  • 박선영;용환승
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10a
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    • pp.90-92
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    • 1999
  • 내용기반 이미지 검색을 하기 위해서는 이미지에 대한 메타데이타(metadata)가 필요하며, 이러한 메타데이타 간에는 상호연관성이 존재한다. XML(eXtensible Markup Language)은 메타데이타의 상호연관성을 표현하기에 적절하므로 본 논문에서는 이미지 메타데이타를 구조화하기 위한 방법으로 XML을 사용하였다. 또한 이미지는 객체의 시간적인 특징과 함께 이미지 전체가 내포하는 서술적인 의미도 갖는다. 이러한 이미지의 특성에 따라 메타데이타도 객체의 시각적 특징을 중심으로 한 구조 설계와 의미 중심의 구조 설계로 구분하여 XML 구조를 모델링 하였다. 마지막으로 구조화된 모델들 간의 객체 지향 특성을 이용하여 XML DBMS에 통합하고, 이를 XQL(XML Query Language)에 의하여 질의 해 냄으로서 검색 구간에 제약을 가하고 이를 통하여 더욱 효과적인 검색을 지원하도록 한다.

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Design of Content-based Image Retrival System using Multilevel Metadata (다계층 메타데이타 기반 이미지 내용검색 시스템 설계)

  • 신용수;홍성용;나연묵
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10c
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    • pp.142-144
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    • 2002
  • 대부분의 내용기반 이미지 검색 시스템은 이미지의 특징 벡터인 색상, 모양, 그리고 질감에 의해서 유사한 이미지를 검색하는 기법을 제공하고 있다. 최근 이러한 내용기반 이미지 검색 기술은 의료 영상 이미지와 같은 다양한 분야에 적용되고 있으며, 이에 따라서 의료 이미지를 분석하여 저장, 검색하기 위한 데이터베이스 시스템이 증가하고 있다. 그러나, 대량의 이미지로부터 원하는 이미지를 검색하기 위해서는 이미지의 메타데이타를 효율적으로 표현해야 하며, 의미성과 이미지의 특징 데이터를 통합적으로 저장 관리 할 수 있는 이미지 데이터베이스를 설계하고 구축해야만 한다. 본 논문에서는 기존의 내용기반 이미지 검색 기법을 살펴보고. 이미지를 내용기반으로 분류하고 저장할 수 있는 데이터베이스 시스템을 설계하여 효율적인 의미기반 검색을 지원말 수 있는 모델을 제시한다. 다계층 메타데이타 레이어 구조로 이미지에 대한 개념 지식 모델을 표현하고, 이미지내의 객체를 메타데이타로 표현하여 분류할 수 있는 모델을 제안한다. 또한, 이미지 내용검색을 지원하기 위한 시스템 구조를 설계하고, 메타데이타가 저장되기 위한 관계형 모델을 스타 스키마의 형태로 제시한다. 제안된 방법은 의미적인 이미지 내용 검색 방법의 지원에 활용될 수 있다.

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Target Advertisement based on a TV Viewer's Profile Inference and TV Anytime Metadata (시청자 프로파일 추론과 TV Anytime 메타데이타를 이용한 표적 광고)

  • Kim, Mun-Jo;Lee, Bum-Sik;Lim, Jeong-Yon;Kim, Mun-Churl;Lee, Hee-Kyung;Lee, Han-Gyu
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.10
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    • pp.709-721
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    • 2006
  • The traditional broadcasting services over terrestrial, satellite and cable media have been unidirectional mass media regardless of TV viewer's preferences. Recently ich media streaming has become possible via the broadb and networks. Furthermore, since bidirectional communication is possible, personalcasting such as personalized streaming services has been emerging by taking into account the user's preference on content genres, viewing times and actors/actresses etc. Accordingly, personal media becomes an important means for content provision service in addition to the traditional broadcasting service as mass media. In this paper, we introduce a user profile reasoning method for target advertisement which is considered an important application in personalcasting service. The proposed user profile reasoning method predicts an unknown TV viewer's gender and ages by analyzing TV Viewing history data. Based on the estimated user's gender and ages, a target advertisement is provided with TV Anytime metadata. A proposed target advertisement system is developed based on the user profile reasoning and the target advertisement selection method. To show the effectiveness of our proposed methods, we present a plenty of experimental results by using realistic TV viewing history data.

TagPlus: A Retrieval System using Synonym Tag in Folksonomy (TagPlus: 폭소노미에서 동의어 태그를 이용한 검색 시스템)

  • Lee, Sun-Sook;Yong, Hwan-Seung
    • Journal of Digital Contents Society
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    • v.8 no.3
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    • pp.255-262
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    • 2007
  • Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs, videos and other content. In this paper, we analyze the structure and basic knowledge of collaborative tagging systems as well as their dynamical aspects. We also present a retrieval system, TagPlus, using synonym tag that is derived from WordNet database. Specifically, TagPlus, a synonym tag based system has users retrieve images from Flickr system. The proposed system show the images tagged by not only the tag that users input but also the synonyms that are synonyms with the tag.

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A Study on Design of the Image Retrieval System Using Embedded System (임베디드 시스템을 이용한 이미지 검색 시스템 설계에 관한 연구)

  • Kim, Kyung-Soo
    • Convergence Security Journal
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    • v.10 no.1
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    • pp.49-53
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    • 2010
  • Recently multimedia has been formed, provided, and shared enough not to compare with the past, due to the proliferation of Internet and the development of hardware relating to multimedia. Accordingly to internationally give a proper expression to metadata of multimedia, the standard of MPEG-7 has been established, and researches for image search among various data of multimedia using MPEG-7 are going on. Thus there are meaning-based search. In the former there is a merit that search speed is fast, but technology and accuracy by technical knowledge on the image. In the latter the accuracy of search is decreasing because of not understanding the meaning about image and the internet of users. In this study to solve these problems a search system has been designed by combining the two methods. Also the search and manage image data by handheld devices such as portable PDA or smart phone, a system. Once this is used, multimedia data can be efficiently searched and utilized by handheld devices.

Design and Implementation to Support Cross-Platform Smart Learning System based on Ontology (이기종 플랫폼을 지원하는 온톨로지 기반 스마트러닝 시스템 설계 및 구현)

  • Jeon, Seung-Yeon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.960-963
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    • 2013
  • By the rapid development ICTs, education is entering into a smart learning. Learners are put down the paper book, are learning by using a various smart devices, and at this moment emerged that learning system each of which contains numerous platforms. Platform-specific systems require a lot of time and money to applicable to heterogeneous platforms, and This phenomenon is exacerbated if system has a lot of learning contents. Learning system that supports cross-platform is needed for reduce the unnecessary waste of resources and provide effective learning content. In order to achieve this, the research must be preceded by a database model that numerous of existing learning content can be integrated without any unnecessary redundant. In this paper, suggests Ontology-based metadata model that can be integrate existing learning content as an alternative to database, and through this, Design and Implementation of smart learning system that support Heterogeneous platforms.

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