• Title/Summary/Keyword: 메타데이터 추출 알고리즘

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Investigating the Efficient Method for Constructing Audio Surrogates of Digital Video Data (비디오의 오디오 정보 요약 기법에 관한 연구)

  • Kim, Hyun-Hee
    • Journal of the Korean Society for information Management
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    • v.26 no.3
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    • pp.169-188
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    • 2009
  • The study proposed the algorithm for automatically summarizing the audio information from a video and then conducted an experiment for the evaluation of the audio extraction that was constructed based on the proposed algorithm. The research results showed that first, the recall and precision rates of the proposed method for audio summarization were higher than those of the mechanical method by which audio extraction was constructed based on the sentence location. Second, the proposed method outperformed the mechanical method in summary making tasks, although in the gist recognition task(multiple choice), there is no statistically difference between the proposed and mechanical methods. In addition, the study conducted the participants' satisfaction survey regarding the use of audio extraction for video browsing and also discussed the practical implications of the proposed method in Internet and digital library environments.

Context Sharing Framework Based on Time Dependent Metadata for Social News Service (소셜 뉴스를 위한 시간 종속적인 메타데이터 기반의 컨텍스트 공유 프레임워크)

  • Ga, Myung-Hyun;Oh, Kyeong-Jin;Hong, Myung-Duk;Jo, Geun-Sik
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.39-53
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    • 2013
  • The emergence of the internet technology and SNS has increased the information flow and has changed the way people to communicate from one-way to two-way communication. Users not only consume and share the information, they also can create and share it among their friends across the social network service. It also changes the Social Media behavior to become one of the most important communication tools which also includes Social TV. Social TV is a form which people can watch a TV program and at the same share any information or its content with friends through Social media. Social News is getting popular and also known as a Participatory Social Media. It creates influences on user interest through Internet to represent society issues and creates news credibility based on user's reputation. However, the conventional platforms in news services only focus on the news recommendation domain. Recent development in SNS has changed this landscape to allow user to share and disseminate the news. Conventional platform does not provide any special way for news to be share. Currently, Social News Service only allows user to access the entire news. Nonetheless, they cannot access partial of the contents which related to users interest. For example user only have interested to a partial of the news and share the content, it is still hard for them to do so. In worst cases users might understand the news in different context. To solve this, Social News Service must provide a method to provide additional information. For example, Yovisto known as an academic video searching service provided time dependent metadata from the video. User can search and watch partial of video content according to time dependent metadata. They also can share content with a friend in social media. Yovisto applies a method to divide or synchronize a video based whenever the slides presentation is changed to another page. However, we are not able to employs this method on news video since the news video is not incorporating with any power point slides presentation. Segmentation method is required to separate the news video and to creating time dependent metadata. In this work, In this paper, a time dependent metadata-based framework is proposed to segment news contents and to provide time dependent metadata so that user can use context information to communicate with their friends. The transcript of the news is divided by using the proposed story segmentation method. We provide a tag to represent the entire content of the news. And provide the sub tag to indicate the segmented news which includes the starting time of the news. The time dependent metadata helps user to track the news information. It also allows them to leave a comment on each segment of the news. User also may share the news based on time metadata as segmented news or as a whole. Therefore, it helps the user to understand the shared news. To demonstrate the performance, we evaluate the story segmentation accuracy and also the tag generation. For this purpose, we measured accuracy of the story segmentation through semantic similarity and compared to the benchmark algorithm. Experimental results show that the proposed method outperforms benchmark algorithms in terms of the accuracy of story segmentation. It is important to note that sub tag accuracy is the most important as a part of the proposed framework to share the specific news context with others. To extract a more accurate sub tags, we have created stop word list that is not related to the content of the news such as name of the anchor or reporter. And we applied to framework. We have analyzed the accuracy of tags and sub tags which represent the context of news. From the analysis, it seems that proposed framework is helpful to users for sharing their opinions with context information in Social media and Social news.

Image Retrieval using Multiple Features on Mobile Platform (모바일 플랫폼에서 다중 특징 기반의 이미지 검색)

  • Lee, Yong-Hwan;Cho, Han-Jin;Lee, June-Hwan
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.237-243
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    • 2014
  • In this paper, we propose a mobile image retrieval system which utilizes the mobile device's sensor information and enables running in a variety of the environments, and implement the system on Android platform. The proposed system deals with a new image descriptor using combination of the visual feature with EXIF attributes in the target of JPEG image, and image matching algorithm which is optimized to the mobile environments. Experiments are performed on the Android platform, and the experimental results revealed that the proposed algorithm exhibits a significant improved results with large image database.

FTTC/VDSL 가입자 전송기술

  • 임기홍;김기호;심창섭;임종대
    • Information and Communications Magazine
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    • v.15 no.7
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    • pp.169-179
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    • 1998
  • 본 논문에서는 현재 연구 개발되고 있는 Fiber-to-the-curb / Very high-rate digital subscriber line(FTTC/VDSL) 시스템의 DAVIC 표준 가입자 전송 기술인 51.84 Mb/s 16-CAP (Carrierless AM/PM) 전송시스템 (downstream)과 1.62 Mb/s QPSK burst-mode TDMA 전송시스템 (upstream)및, 타이밍 복원회로 등의 동작 원리 및 구조를 간략하게 기술하였다. 본 논문은 FTTC/VDSL 전송시스템 개발을 위하여 전체시스템이 운영될 환경, 즉 채널에 대하여 기술한 후, 주어진 채널에 적합한 down-stream전송시스템 알고리즘 및 구조를 설명하였으며, 타이밍 복원 시스템을 기술하였다. FTTC/VDSL시스템은 네트워크의 한 개의 송수신부가 가입자 댁내의 여러 개의 set-top box와 데이터를 주고받는 점 대 다점 (point-to-multipoint) 구조로 이루어져 있으며, 따라서 역 방향 (upstream) 채널 데이터 전송을 위한 QPSK 전송시스템은 네트워크쪽의 QPSK 수신부가 가입자 댁내의 여러개의 QPSK 송신부를 서비스할 수 있게끔 시분할 다중접속 방식인 burst-mode TDMA전송방식으로 구현되었다. FTTC/VDSL 전송시스템은 DAVIC의 시스템 성능 요구조건을 만족하게 설계되었으며, 모든 기능은 디지털로 구현되었고 칩 구현을 위하여 각 기능의 VLSI 시스템 파라메타 들을 추출하고 성능 시험을 실시하였다.

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Design and Implementation of HoleInOne Metasearch System (HoleInOne 메타검색 시스템의 설계 및 구현)

  • 김현주;배종민
    • Journal of Korea Multimedia Society
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    • v.6 no.2
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    • pp.360-373
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    • 2003
  • The Meta Search system proposed in this paper is operated based on relevance distribution Infer mation(RDI). It first evaluates the sources applicable to the search, and then selects the most appropriate source. According to the evaluation of the sources, it discreetly collects the documents from the concerned sources and classifies them into a useful order based on the RDI, which is an evaluation score of the sources. The documents are classified into order and presented to the user as a single search result. For this Purpose, this study presents evaluation factor models to present the RDI between the query, and source, and proposes a method for drawing out the RDI based on the evaluation factors. The system for selecting the most appropriate sources according to the query has been developed based on an algorithm that selects the best source. Finally, after searching the documents suitable for query from extracted sources, we present a Meta Search system, HoleInOne, that ranks and merges them.

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An Algorithm of Diagnosing Eccentricity in Single Stand Rolling Mill (디지털 필터를 이용한 단일 스탠드 압연기의 편심 진단 알고리즘)

  • 전재영;김현승;이해영
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.15 no.1
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    • pp.59-69
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    • 2001
  • Ths paper presents an algorithm of detecting eccentricity signal and diagnosing the cause in rolling process. A designed technique uses only the outputs of load cell and tachorreter, which are generally utilized in rolling process, and need not any acklitional sensors. Detecting signals related to eccentricity is done by combining outputs of 6 digital bandPass filters whose center frequency are varied with roll's rotating frequency. A function of diagnosing the cause of occentricity from extracted data having occentricity components is implemented by defining reasonable variables. In order to show validity of an algorithm designed in this paper, simulation was accomplished for three groups. The first is that some portion of roll in the direction of roll circumference is distorted. The second is that rotating axis and roll center is not identical. The third is that composite cause is occmed Simulation results show that every kind of eccentricity can be diagnosed in terms of algorithm proposed.oposed.

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A Video Information Management System for Supporting Caption- and Content-based Searches (주석 및 내용 기반 검색을 지원하는 동영상 정보 관리 시스템)

  • 전미경;김인홍;류시국;전용기;강현석
    • Journal of Korea Multimedia Society
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    • v.2 no.3
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    • pp.231-242
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    • 1999
  • Generally, either caption-based search method or content-based search methods is used to retrieve video information. However, each search method has its limitations. Caption-based search is apt to lose consistency as for user's subjects, and content-based search is hard to extract general means. To enhance efficiency and correctness as for complementing each other, we propose the Integrated Video Data Model(IVDM) which integrates the two search methods, to device the model, we analyze video data and construct the structure of video information hierarchically. IVDM supports caption-based search as assigning meta-data by analyzing thematic-unit in the higher level, and also supports content-based search as extracting feature data by analyzing the content of video data in the lower level. We design Object-Oriented database schema of news video, based-on the IVDM. And we provide 4-type of queries and query processing algorithm to retrieve news video information.

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Development of Optical Burst Switching System for Next Generation Internet Services (차세대 인터넷 서비스를 위한 광버스트 교환 노드 설계)

  • Jang, Hee-Seon;Shin, Hyeun-Cheul;Aum, Ki-Chul;Lee, Sung-Hoon
    • Convergence Security Journal
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    • v.5 no.1
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    • pp.45-52
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    • 2005
  • In this paper, the development specification of the optical burst switching system (OBS) for next generation internet services is presented. The development specification includes the number of input/output nodes, the number of wavelengths, buffer capacity, the capacity/queue size of the controller and maximum burst assembly delay. From the performance parameters related to the OBS design, an mathematical model to maximize the throughput and minimize the data loss is presented, and then efficient heuristic algorithm is also presented to analyze the sensitivity of the system parameters.

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Reinforcement Post-Processing and Feedback Algorithm for Optimal Combination in Bottom-Up Hierarchical Classification (상향식 계층분류의 최적화 된 병합을 위한 후처리분석과 피드백 알고리즘)

  • Choi, Yun-Jeong;Park, Seung-Soo
    • The KIPS Transactions:PartB
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    • v.17B no.2
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    • pp.139-148
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    • 2010
  • This paper shows a reinforcement post-processing method and feedback algorithm for improvement of assigning method in classification. Especially, we focused on complex documents that are generally considered to be hard to classify. A basis factors in traditional classification system are training methodology, classification models and features of documents. The classification problem of the documents containing shared features and multiple meanings, should be deeply mined or analyzed than general formatted data. To address the problems of these document, we proposed a method to expand classification scheme using decision boundary detected automatically in our previous studies. The assigning method that a document simply decides to the top ranked category, is a main factor that we focus on. In this paper, we propose a post-processing method and feedback algorithm to analyze the relevance of ranked list. In experiments, we applied our post-processing method and one time feedback algorithm to complex documents. The experimental results show that our system does not need to change the classification algorithm itself to improve the accuracy and flexibility.

An overview of channel estimation for IR-UWB System (IR-UWB 시스템을 위한 채널 추정 기법)

  • Shin, Chang-Taek;Choi, Gin-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.3
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    • pp.1-10
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    • 2010
  • Impulse Radio Ultra-wideband (IR-UWB) system employing the short pulse has the tolerable characteristics for the multipath environment. The corresponding transceiver with low power consumption can be simply implemented. On the other hand, in the receiver side, the precise channel estimation is required for the knowledge of essence in channel due to the short period of pulse. The estimated gains and delays in channel are used in the rake receiver. The resulting parameters we search have a strong influence on the performance in the entire system. We introduce that the essential parameters can be obtained more precisely through the preamble in receiver side for the channel estimation and related technologies are presented.