• Title/Summary/Keyword: Contents-based retrieval

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Design of Indexing Agent for Semantic-based Video Retrieval (의미기반 비디오 검색을 위한 인덱싱 에이전트의 설계)

  • Lee, Jong-Hee;Oh, Hae-Seok
    • The KIPS Transactions:PartB
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    • v.10B no.6
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    • pp.687-694
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    • 2003
  • According to the rapid increase of multimedia data quantity recently, various means of video data search has been desired. In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic-based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency and requires many efforts of system administrator or annotator form less perfect automatic processing. In this paper, we propose semantic-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method that propose. Therefore, we design the system that can heighten retrieval efficiency of video data through semantic-based retrieval.

A Study on Implementation of XML-Based Information Retrieval System for Video Contents (XML 기반의 동영상콘텐츠 검색 시스템 설계 및 구현)

  • Kim, Yong;So, Min-Ho
    • Journal of the Korean Society for information Management
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    • v.26 no.4
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    • pp.113-128
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    • 2009
  • Generally, a user uses briefly summarized video data and text information to search video contents. To provide fast and accurate search tool for video contents in the process of searching video contents, this study proposes a method to search video clips which was partitioned from video contents. To manage and control video contents and metadata, the proposed method creates structural information based on XML on a video and metadata, and saves the information into XML database. With the saved information, when a user try to search video contents, the results of user's query to retrieve video contents would be provided through creating Xpath which has class structure information. Based on the proposed method, an information retrieval system for video clips was designed and implemented.

A Semantics-based Video Retrieval System using Annotation and Feature (주석 및 특징을 이용한 의미기반 비디오 검색 시스템)

  • 이종희
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.4
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    • pp.95-102
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    • 2004
  • In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic-based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency md requires many efforts of system administrator or annotator because of imperfect automatic processing. In this paper, we propose semantics-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method and optimized comparison area extracting that propose. Therefore, we propose the system that can heighten retrieval efficiency of video data through semantics-based retrieval.

COVA: A Distance Learning System supporting Content-based Lecture Retrieval (COVA: 내용 기반 강의 검색을 지원하는 원격 학습 시스템)

  • 차광호
    • Journal of KIISE:Databases
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    • v.31 no.2
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    • pp.99-107
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    • 2004
  • Education and training are expected to change dramatically due to the combined impact of the Internet, database, and multimedia technologies However, the distance learning is often impeded by the lack of effective tools and system to manage and retrieve the lecture contents effectively. This paper introduces a prototype system called COVA that enables remote users to access specific parts of interest by contents from a large lecture database. COVA includes several novel techniques to achieve the content-based lecture retrieval in distance teaming: (1) The XML-based semistructured model to represent lecture contents; (2) The technique to build structural summaries, i.e., schemas, of XML lecture databases; (3) Index structures to speed up the search to find appropriate lecture contents.

A Web Contents Ranking Algorithm using Bookmarks and Tag Information on Social Bookmarking System (소셜 북마킹 시스템에서의 북마크와 태그 정보를 활용한 웹 콘텐츠 랭킹 알고리즘)

  • Park, Su-Jin;Lee, Si-Hwa;Hwang, Dae-Hoon
    • Journal of Korea Multimedia Society
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    • v.13 no.8
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    • pp.1245-1255
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    • 2010
  • In current Web 2.0 environment, one of the most core technology is social bookmarking which users put tags and bookmarks to their interesting Web pages. The main purpose of social bookmarking is an effective information service by use of retrieval, grouping and share based on user's bookmark information and tagging result of their interesting Web pages. But, current social bookmarking system uses the number of bookmarks and tag information separately in information retrieval, where the number of bookmarks stand for user's degree of interest on Web contents, information retrieval, and classification serve the purpose of tag information. Because of above reason, social bookmarking system does not utilize effectively the bookmark information and tagging result. This paper proposes a Web contents ranking algorithm combining bookmarks and tag information, based on preceding research on associative tag extraction by tag clustering. Moreover, we conduct a performance evaluation comparing with existing retrieval methodology for efficiency analysis of our proposed algorithm. As the result, social bookmarking system utilizing bookmark with tag, key point of our research, deduces a effective retrieval results compare with existing systems.

A Retrieval System of Environment Education Contents using Method of Automatic Annotation and Histogram (자동 주석 및 히스토그램 기법을 이용한 환경 교육 컨텐츠 검색 시스템)

  • Lee, Keun-Wang;Kim, Jin-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.1
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    • pp.114-121
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    • 2008
  • In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic- based retrieval method can be available for various query of users. In this paper, we propose semantic-based video retrieval system for Environment Education Contents which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted form query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method that propose. From experiment, the designed and implemented system showed high precision ratio in performance assessment more than 90 percents.

A Proposal of Multimedia Retrieval System and XML Meta-data Modeling Techniques (XML 메타데이터 모델링기법과 멀티미디어 검색시스템의 제안)

  • 윤미희;조동욱
    • Proceedings of the Korea Contents Association Conference
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    • 2003.05a
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    • pp.393-398
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    • 2003
  • Video which contains the multiple data such as text, images, audio and motion of objects is typical multimedia data. Multimedia retrieval system using XML is essential for efficient rep. of multimedia data. Therefore, multimedia retrieval system for retrieval and structural understanding is needed to retrieve the multimedia data. This Paper Proposes the multimedia retrieval system based on XML Meta-data modeling techniques.

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Improvement of Retrieval Feedback Using Dynamic Interaction Function (동적 상호작용 함수를 애용한 검색 피드백의 개선)

  • Han, Jung-Soo
    • The Journal of the Korea Contents Association
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    • v.6 no.2
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    • pp.93-98
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    • 2006
  • The paper describes a method o( user feedback in order to enhance the retrieval system effectiveness. The existing fuzzification function adapting fuzzy technique has difficulty that 4 type graph is made each time user select components. In this paper, to overcome this weak point of feedback, we proposed the interaction function using gaussian function that gives different learning rate according to choice of components with same function. We suggest the most efficient dynamic interaction function based on comparison of retrieval performance according to parameter of function. And then, we will construct the efficient retrieval system.

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A Hangul Document Image Retrieval System Using Rank-based Recognition (웨이브렛 특징과 순위 기반 인식을 이용한 한글 문서 영상 검색 시스템)

  • Lee Duk-Ryong;Kim Woo-Youn;Oh Il-Seok
    • The Journal of the Korea Contents Association
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    • v.5 no.2
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    • pp.229-242
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    • 2005
  • We constructed a full-text retrieval system for the scanned Hangul document images. The system consists of three parts; preprocessing, recognition, and retrieval components. The retrieval algorithm uses recognition results up to k-ranks. The algorithm is not only insensitive to the recognition errors, but also has the advantage of user-controllable recall and precision. For the objective performance evaluation, we used the scanned images of the Journal of Korea Information Science Society provided by KISTI. The system was shown to be practical through theevaluationofrecognitionandretrievalrates.

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A Study on Effective Internet Data Extraction through Layout Detection

  • Sun Bok-Keun;Han Kwang-Rok
    • International Journal of Contents
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    • v.1 no.2
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    • pp.5-9
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    • 2005
  • Currently most Internet documents including data are made based on predefined templates, but templates are usually formed only for main data and are not helpful for information retrieval against indexes, advertisements, header data etc. Templates in such forms are not appropriate when Internet documents are used as data for information retrieval. In order to process Internet documents in various areas of information retrieval, it is necessary to detect additional information such as advertisements and page indexes. Thus this study proposes a method of detecting the layout of Web pages by identifying the characteristics and structure of block tags that affect the layout of Web pages and calculating distances between Web pages. This method is purposed to reduce the cost of Web document automatic processing and improve processing efficiency by providing information about the structure of Web pages using templates through applying the method to information retrieval such as data extraction.

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