• Title/Summary/Keyword: Multimedia Document Retrieval

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Analysis of Indexing Schemes for Structure-Based Retrieval (구조 기반 검색을 위한 색인 구조에 대한 분석)

  • 김영자;김현주;배종민
    • Journal of Korea Multimedia Society
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    • v.7 no.5
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    • pp.601-616
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    • 2004
  • Information retrieval systems for structured documents provide multiple levels of retrieval capability by supporting structure-based queries. In order to process structure-based queries for structured documents, information for structural nesting relationship between elements and for element sequence must be maintained. This paper presents four index structures that can process various query types about structures such as structural relationships between elements or element occurrence order. The proposed algorithms are based on the concept of Global Document Instance Tree.

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A Study on the Improvement of Retrieval Efficiency Based on the CRFMD (공통기술표현포맷에 기반한 다매체자료의 검색효율 향상에 관한 연구)

  • Park, Il-Jong;Jeong, Ki-Tai
    • Journal of the Korean Society for information Management
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    • v.23 no.3 s.61
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    • pp.5-21
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    • 2006
  • In recent years, theories of image and sound analysis have been proposed to work with text retrieval systems and have progressed quickly with the rapid progress in data processing speeds. This study proposes a common representation format for multimedia documents (CRFMD) composed of both images and text to form a single data structure. It also shows that image classification of a given test set is dramatically improved when text features are encoded together with image features. CRFMD might be applicable to other areas of multimedia document retrieval and processing, such as medical image retrieval, World Wide Web searching, and museum collection retrieval.

How Query by humming, a Music Information Retrieval System, is Being Used in the Music Education Classroom

  • Bradshaw, Brian
    • Journal of Multimedia Information System
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    • v.4 no.3
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    • pp.99-106
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    • 2017
  • This study does a qualitative and quantitative analysis of how music by humming is being used by music educators in the classroom. Music by humming is part division of music information retrieval. In order to define what a music information retrieval system is first I need to define what it is. Berger and Lafferty (1999) define information retrieval as "someone doing a query to a retrieval system, a user begins with an information need. This need is an ideal document- perfect fit for the user, but almost certainly not present in the retrieval system's collection of documents. From this ideal document, the user selects a group of identifying terms. In the context of traditional IR, one could view this group of terms as akin to expanded query." Music Information Retrieval has its background in information systems, data mining, intelligent systems, library science, music history and music theory. Three rounds of surveys using question pro where completed. The study found that there were variances in knowledge, training and level of awareness of query by humming, music information retrieval systems. Those variance relationships where based on music specialty, level that they teach, and age of the respondents.

Machine Learning Based Automatic Categorization Model for Text Lines in Invoice Documents

  • Shin, Hyun-Kyung
    • Journal of Korea Multimedia Society
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    • v.13 no.12
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    • pp.1786-1797
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    • 2010
  • Automatic understanding of contents in document image is a very hard problem due to involvement with mathematically challenging problems originated mainly from the over-determined system induced by document segmentation process. In both academic and industrial areas, there have been incessant and various efforts to improve core parts of content retrieval technologies by the means of separating out segmentation related issues using semi-structured document, e.g., invoice,. In this paper we proposed classification models for text lines on invoice document in which text lines were clustered into the five categories in accordance with their contents: purchase order header, invoice header, summary header, surcharge header, purchase items. Our investigation was concentrated on the performance of machine learning based models in aspect of linear-discriminant-analysis (LDA) and non-LDA (logic based). In the group of LDA, na$\"{\i}$ve baysian, k-nearest neighbor, and SVM were used, in the group of non LDA, decision tree, random forest, and boost were used. We described the details of feature vector construction and the selection processes of the model and the parameter including training and validation. We also presented the experimental results of comparison on training/classification error levels for the models employed.

Retrieval of Broadcast News Using Audio Content Analysis

  • Kim, Hyoung-Gook
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.3E
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    • pp.74-79
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    • 2007
  • In this paper, we report our recent work on a indexing and retrieval system of broadcast news using audio content analysis. Key issues addressed in this work are two major parts of the audio indexing system: anchorperson detection based on audio segmentation, and phone-based spoken document retrieval, developed in the framework of the emerging MPEG-7 standard. Experiments are conducted on a database of Britisch broadcast news videos. We discuss the development of the retrieval system, and the evaluation of each part and the retrieval system.

Conceptual Object Grouping for Multimedia Document Management

  • Lee, Chong-Deuk;Jeong, Taeg-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.9 no.3
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    • pp.161-165
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    • 2009
  • Increase of multimedia information in Web requires a new method to manage and service multimedia documents efficiently. This paper proposes a conceptual object grouping method by fuzzy filtering, which is automatically constituted based on increase of multimedia documents. The proposed method composes subsumption relations between conceptual objects automatically using fuzzy filtering of the document objects that are extracted from domains. Grouping of such conceptual objects is regarded as subsumption relation which is decided by $\mu$-cut. This paper proposes $\mu$-cut, FAS(Fuzzy Average Similarity) and DSR(Direct Subsumption Relation) to decide fuzzy filtering, which groups related document objects easily. This paper used about 1,000 conceptual objects in the performance test of the proposed method. The simulation result showed that the proposed method had better retrieval performance than those for OGM(Optimistic Genealogy Method) and BGM(Balanced Genealogy Method).

Gathering and Retrieval of the graphic images on a Web document (웹 문서내의 그래픽 영상 수집 및 검색)

  • 최진영;이은애;하석운
    • Proceedings of the Korea Multimedia Society Conference
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    • 2000.11a
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    • pp.607-610
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    • 2000
  • 특정, 컴퓨터 사용자들이 자기가 관심을 가지고 있는 문서에서 어느 한 영상을 일괄 수집(Gathering)하고자 하는 욕구가 생길 수 있다. 그런데, 그래픽 영상(Graphic Image)이 여러 개로 세분화되어 있고, 한 문서 내에 다량으로 존재하기 때문에 선택하는 데 한계가 있다. 따라서, 웹(Web) 문서내의 모든 영상을 일괄 수집할 필요가 있으며 이 수집한 영상 중에서 사용자가 관심을 가지는 영상을 검색(Retrieval)하면 그와 유사한 다른 영상들도 같이 검색할 수 있는 시스템(System)이 필요하다는 생각에서 본 시스템을 구현하였는데, 그래픽영상의 일괄 수집이 가능하였고, 사용자의 관심영상에 대한 유사영상 검색이 가능하였다.

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A study on Metadata Modeling using Structure Information of Video Document (비디오 문서의 구조 정보를 이용한 메타데이터 모델링에 관한 연구)

  • 권재길
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.4
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    • pp.10-18
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    • 1998
  • Video information is an important component of multimedia system such as Digital Library. World-Wide Web(WWW) and Video-On-Demand(VOD) service system. It can support various types of information because of including audio-visual, spatial-temporal and semantics information. In addition, it requires the ability of retrieving the specific scene of video instead of entire retrieval of video document. Therefore, so as to support a variety of retrieval, this paper models metadata using video document structure information that consists of hierarchical structure, and designs database schema that can manipulate video document.

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Style Control of Structured Documents using DSSSL

  • Lee, Kyong-Ho;Lee, Jin-Ho;Choy, Yoon-Chul
    • Proceedings of the Korea Database Society Conference
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    • 1997.10a
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    • pp.455-462
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    • 1997
  • SGML(Standard Generalized Markup Language) is the ISO standard fer describing the logical structure of documents and is also adopted as the CALS standard for document description. Since then, there have been growing interests in SGML application in a variety of fields. However because SGML doesn't provide a standard method for describing various processing informations, ie, formatting and transformation, most applications have applied methods that are system dependent. Recently, ISO defined DSSSL(Document Style Semantics and Specification Language) as a standard mechanism to specify the formatting, transformation and retrieval of structured documents. Therefore, in this paper, we present a DSSSL processing system far style control of structured documents such as SGML documents. The system processes DSSSL style sheet that describes layout of documents and browses the result of its application to a SGML document. We have conducted tests on a lot of SGML documents and DSSSL style sheets successfully. Now, we are developing the SGML document management system that supports creation, editing, storage and retrieval of SGML document based upon the DSSSL processor and the SGML parser which we have developed.

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Implementation of on Automatic Tool Generating a XML Document from Database Retrieval (데이터베이스 질의 결과로부터 XML 문서 자동 생성 도구 구현)

  • 조승호;이원진
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.11a
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    • pp.396-399
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    • 2003
  • 본 연구에서는 객체를 중간 매개체로 활용하여 관계형 데이터베이스로부터 XML 문서를 자동적으로 추출하는 도구에 대하여 구현하였다 본 시스템은 XML 문서와 데이터베이스간 맵핑을 위하여 객체-관계 맵핑을 적용하였으며. 데이터베이스 설정. 관계-객체 스키마 맵핑 XML 생성 등의 기능을 제공한다 본 연구 결과는 데이터베이스 내용을 XML 문서로 생성하여 유무선 컨텐츠를 사용하는 사용자에게 일관된 정보를 제공하거나 기업간 정보 교환시 유용하게 활용될 수 있다.

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