• Title/Summary/Keyword: metadata processing technique

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Metadata Processing Technique for Similar Image Search of Mobile Platform

  • Seo, Jung-Hee
    • Journal of information and communication convergence engineering
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    • v.19 no.1
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    • pp.36-41
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    • 2021
  • Text-based image retrieval is not only cumbersome as it requires the manual input of keywords by the user, but is also limited in the semantic approach of keywords. However, content-based image retrieval enables visual processing by a computer to solve the problems of text retrieval more fundamentally. Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult. Hence, an effective image retrieval method on mobile platforms is proposed herein. To provide the visual meaning of keywords to be inserted into images, the efficiency of image retrieval is improved by extracting keywords of exchangeable image file format metadata from images retrieved through a content-based similar image retrieval method and then adding automatic keywords to images captured on mobile devices. Additionally, users can manually add or modify keywords to the image metadata.

Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-based Metadata Extraction (이메일에 포함된 감성정보 관련 메타데이터 추출에 관한 연구)

  • Paik, Woo-Jin
    • Journal of the Korean Society for information Management
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    • v.23 no.2
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    • pp.167-183
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    • 2006
  • This paper describes a metadata extraction technique based on natural language processing (NLP) which extracts personalized information from email communications between financial analysts and their clients. Personalized means connecting users with content in a personally meaningful way to create, grow, and retain online relationships. Personalization often results in the creation of user profiles that store individuals' preferences regarding goods or services offered by various e-commerce merchants. We developed an automatic metadata extraction system designed to process textual data such as emails, discussion group postings, or chat group transcriptions. The focus of this paper is the recognition of emotional contents such as mood and urgency, which are embedded in the business communications, as metadata.

DESIGN AND IMPLEMENTATION OF MULTIMEDIA MATADATA MANAGEMENT SYSTEM FOR HETEROGENOUS SOURCES

  • Park, Seong-Kyu;Lee, Yang-Koo;Chai, Duck-Jin;Kim, Hi-Seok;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.398-401
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    • 2008
  • With the advance of internet and computer processing technique, users can easily access and use the multimedia contents involving the various pictures, videos and audios information. And users request more convenient and accurate multimedia services. In these environments, it is difficulties to integrate and manage metadata standards because there are various standards in multimedia applications according to types of services and data formats individually. In this paper, we design and implement the multimedia metadata management system for integrating from heterogeneous sources. In our system, we managed heterogeneous metadata by integrating to unified schema using mapping table. Through proposed system, users can search multimedia data easily without considering variety of application services.

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An Efficient Recovery Technique using Global Buffer on SAN Environments (SAN 환경에서의 전역 버퍼를 이용한 효율적인 회복 기법)

  • Park, Chun-Seo;Kim, Gyeong-Bae;Lee, Yong-Ju;Park, Seon-Yeong;Sin, Beom-Ju
    • The KIPS Transactions:PartA
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    • v.8A no.4
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    • pp.375-384
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    • 2001
  • The shared disk file systems use a technique known as file system journaling to support recovery of metadata on the SAN(Storage Area Network). In the existing journaling technique, the metadata that is dirtied by one host must be updated to disk space before some hosts access it. The system performance is decreased because the disk access number is increased. In this paper, we describe a new recovery technique using a global buffer to decrease disk I/O. It transmits the dirtied metadata into the other hosts through Fibre Channel network on the SAN instead of disk I/O and supports recovery of a critical data by journaling a data as well as metadata.

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Adaptive Migration Path Technique of Mobile Agent Using the Metadata of Naming Agent (네이밍 에이전트의 메타데이터를 이용한 이동 에이전트의 적응적 이주 경로 기법)

  • Kim, Kwang-Jong;Ko, Hyun;Lee, Yon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.3
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    • pp.165-175
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    • 2007
  • The mobile agent executes a given task by which the agent code moves to the server directly. Therefore, node migration method becomes an important factor which impact on the whole performance of distributed system. In this paper, we propose an adaptive migration path technique of mobile agent using the metadata of naming agent. In this proposed technique, node selection for migration depends on the content of referenced metadata, and the reliability of migrated information is determined by the metadata updating method and cooperative operations of individual agents in multi-agents system. For these, we design the metadata using by the number of hit documents, hit ratio, node processing time and network delay time, and describe the methods for creating, using and updating metadata for which determine the adaptive node migration path of mobile agent according to the cooperation of individual agents and number of hit documents using by designed metadata. And results of evaluated performance for proposed adaptive migration path technique through the proper experiment and analysis gain rate of high effective information earning, because of high hit ratio(72%) about of fathered documents by case of applying metadata move to the 13 nodes. But, in case of non-applying metadata is hit ratio(46%) of gathered documents and rate of effective information earning about of 26 nodes is 36.8%.

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A STORAGE AND RETRIEVAL SYSTEM FOR LARGE COLLECTIONS OF REMOTE SENSING IMAGES

  • Kwak Nohyun;Chung Chin-Wan;Park Ho-hyun;Lee Seok-Lyong;Kim Sang-Hee
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.763-765
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    • 2005
  • In the area of remote sensing, an immense number of images are continuously generated by various remote sensing systems. These images must then be managed by a database system efficient storage and retrieval. There are many types of image database systems, among which the content-based image retrieval (CBIR) system is the most advanced. CBIR utilizes the metadata of images including the feature data for indexing and searching images. Therefore, the performance of image retrieval is significantly affected by the storage method of the image metadata. There are many features of images such as color, texture, and shape. We mainly consider the shape feature because shape can be identified in any remote sensing while color does not always necessarily appear in some remote sensing. In this paper, we propose a metadata representation and storage method for image search based on shape features. First, we extend MPEG-7 to describe the shape features which are not defined in the MPEG-7 standard. Second, we design a storage schema for storing images and their metadata in a relational database system. Then, we propose an efficient storage method for managing the shape feature data using a Wavelet technique. Finally, we provide the performance results of our proposed storage method.

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Efficient Multimedia Data File Management and Retrieval Strategy on Big Data Processing System

  • Lee, Jae-Kyung;Shin, Su-Mi;Kim, Kyung-Chang
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.8
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    • pp.77-83
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    • 2015
  • The storage and retrieval of multimedia data is becoming increasingly important in many application areas including record management, video(CCTV) management and Internet of Things (IoT). In these applications, the files containing multimedia that need to be stored and managed is tremendous and constantly scaling. In this paper, we propose a technique to retrieve a very large number of files, in multimedia format, using the Hadoop Framework. Our strategy is based on the management of metadata that describes the characteristic of files that are stored in Hadoop Distributed File System (HDFS). The metadata schema is represented in Hbase and looked up using SQL On Hadoop (Hive, Tajo). Both the Hbase, Hive and Tajo are part of the Hadoop Ecosystem. Preliminary experiment on multimedia data files stored in HDFS shows the viability of the proposed strategy.

A Study on Distribution Query Conversion Method for Real-time Integrating Retrieval based on TMDR (TMDR 기반의 실시간 통합 검색을 위한 분산질의 변환 기법에 대한 연구)

  • Hwang, Chi-Gon;Shin, Hyo-Young;Jung, Kye-Dong;Choi, Young-Keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.7
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    • pp.1701-1707
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    • 2010
  • This study is intended for implementing the system environment that can help integrate and retrieve various types of data in real-time by providing semantic interoperability among distributed heterogeneous information systems. The semantic interoperability is made possible by providing a TMDR(Topicmaps Metadata Registry), a set of ontologies. TMDR, which has been made by combining MDR(MetaData Registry) and TopicMaps and storing them in the database, is able to generate distributed query and provide efficient knowledge. MDR is a metadata management technique for distributed data management. TopicMaps is an ontology representation technique that takes into consideration the hierarchy and association for accessing knowledge data. We have created TMDR, a kind of ontology, that is fit for any system and able to detect and resolve semantic conflicts on the level of data and schema. With this system we propose a query-processing technique to integrate and access heterogeneous information sources. Unlike existing retrieval methods this makes possible efficient retrieval and reasoning by providing association focusing on subjects.

Constructing and Processing of the Metadata Information for UML Class Authorization Tool (UML 클래스 저작도구를 위한 메타데이터의 정보 구축 및 처리)

  • Kim, Jae-Hoon;Kim, Yun-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.1
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    • pp.71-80
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    • 2011
  • This paper presents a technique of contstructing and processing the metadata information, which is for UML class authorization tool. Construction of the information authorization tool defines Classes and Relationship based on the elements of the consisting of UML class diagram. Definition of the information class is a visibility of Class, a name of Class, an attribution of Class and an operation of Class. Definition of the relationship with information is a name of Relationship, a type of Relationship, a FromClass and a ToClass. In this paper, for a class authorization tool, it suggests a technique to save and read information from information Storage based on the constructed information.

Development a Distributed Power Information System Based on Event using XML (XML을 이용한 이벤트 기반 분산 전력 정보 시스템 개발)

  • Kim, Jung-Sook
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.8
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    • pp.89-96
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    • 2009
  • In the future energy environment, a power information system will meet the real-time capability to process the emergency events, unexpected blackouts or over-load, and the high performance to provide the consumer service events such as remote meter reading. In addition to, it must have facility which is able to process a large information occurred on system effectively. In this paper, we developed a distributed power information system based on event with metadata processing technique which was both load balancing and decreased hot spot using XML that was efficient for information exchange. In order to experiment, we made a reduced future power system with controling power device using wireless communications and we could do experiments through it.