• Title/Summary/Keyword: Contents-based retrieval

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A Study on Contents-based Retrieval using Wavelet (Wavelet을 이용한 내용기반 검색에 관한 연구)

  • 강진석;박재필;나인호;최연성;김장형
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.5
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    • pp.1051-1066
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    • 2000
  • According to the recent advances of digital encoding technologies and computing power, large amounts of multimedia informations such as image, graphic, audio and video are fully used in multimedia systems through Internet. By this, diverse retrieval mechanisms are required for users to search dedicated informations stored in multimedia systems, and especially it is preferred to use contents-based retrieval method rather than text-type keyword retrieval method. In this paper, we propose a new contents-based indexing and searching algorithm which aims to get both high efficiency and high retrieval performance. To achieve these objectives, firstly the proposed algorithm classifies images by a pre-processing process of edge extraction, range division, and multiple filtering, and secondly it searches the target images using spatial and textural characteristics of colors, which are extracted from the previous process, in a image. In addition, we describe the simulation results of search requests and retrieval outputs for several images of company's trade-mark using the proposed contents-based retrieval algorithm based on wavelet.

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Video Data Retrieval System using Annotation and Feture Information (주석정보와 특징정보를 애용한 비디오데이터 검색 시스템)

  • Lee, Keun-Wang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.6
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    • pp.1129-1133
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    • 2006
  • In this thesis, we propose a semantics-based video retrieval system which supports semantics-retrieval for various users of massive video data. Proposed system automatically processes the extraction of contents information which video data has and retrieval process using agent which integrate annotation-based retrieval and feature-based retrieval. From experiment, the designed and implemented system shows increase of recall rate and precision rate for video data scene retrieval in performance assessment.

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Content-based News Video Retrieval System (내용기반에 의한 뉴스 비디오 검색 시스템)

  • Bae, Jong-Sik;Yang, Hae-Sool;Choi, Hyung-Jin
    • The Journal of the Korea Contents Association
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    • v.11 no.2
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    • pp.54-60
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    • 2011
  • The study is content-based video retrieval system based on the news video domain as researching for the video data processing method for searching the multimedia information. For the implementation of effective system, We retrieval meaning information and special information using the knowing knowledge about formation and structure of the video data. These are possible to retrieval searching by articles fast and accurately by indexing contents the users want to search. The news domain used in experiment of our system is the KBS news on the air nowadays and precision and recall is used to evaluate the experiment and performance.

Interactive Genetic Algorithm for Content-based Image Retrieval

  • Lee, Joo-Young;Cho, Sung-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.479-484
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    • 1998
  • As technology in a computer hardware and software advances, efficient information retrieval from multimedia database gets highly demanded. Recently, it has been actively exploited to retrieve information based on the stored contents. However, most of the methods emphasize on the points which are far from human intuition or emotion. In order to overcome this shortcoming , this paper attempts to apply interactive genetic algorithm to content-based image retrieval. A preliminary result with subjective test shows the usefulness of this approach.

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Video Data Modeling for Supporting Structural and Semantic Retrieval (구조 및 의미 검색을 지원하는 비디오 데이타의 모델링)

  • 복경수;유재수;조기형
    • Journal of KIISE:Databases
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    • v.30 no.3
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    • pp.237-251
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    • 2003
  • In this paper, we propose a video retrieval system to search logical structure and semantic contents of video data efficiently. The proposed system employs a layered modelling method that orBanifes video data in raw data layer, content layer and key frame layer. The layered modelling of the proposed system represents logical structures and semantic contents of video data in content layer. Also, the proposed system supports various types of searches such as text search, visual feature based similarity search, spatio-temporal relationship based similarity search and semantic contents search.

A Study in the Preference of e-Learning Contents Delivery Types on Web Information Search Literacy in the case of Agricultural High School (농업계 고등학교 학생들의 정보검색 능력에 따른 이러닝 콘텐츠 유형 선호도 연구)

  • Yu, Byeong-Min;Kim, Su-Wook;Park, Sung-Youl;Choi, Jun-Sik
    • Journal of Agricultural Extension & Community Development
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    • v.16 no.2
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    • pp.463-486
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    • 2009
  • The purpose of this study was to find out the differences of preferences in e-Learning contents delivery types according to information searching retrieval ability in agricultural high school students. Contents delivery types are limited three kinds which are HTML type, video type, and text type and need to know about differences. The following summarizes the results of this study. On the preference of e-Learning contents delivery type on information searching retrieval ability had differences. High level group of information searching retrieval ability showed that they mostly preferred text contents delivery type. However, low level group of information searching retrieval ability showed that they preferred video contents delivery type. The results support our belief that there could be the differences in preferences in e-Learning delivery types with students' information searching retrieval abilities. We suggest that delivery types of e-Learning should be based on the students not on designers and developers.

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An Efficient Audio Indexing Scheme based on User Query Patterns (사용자 질의 패턴을 이용한 효율적인 오디오 색인기법)

  • 노승민;박동문;황인준
    • Journal of KIISE:Databases
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    • v.31 no.4
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    • pp.341-351
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    • 2004
  • With the popularity of digital audio contents, querying and retrieving audio contents efficiently from database has become essential. In this paper, we propose a new index scheme for retrieving audio contents efficiently using audio portions that have been queried frequently. This scheme is based on the observation that users have a tendency to memorize and query a small number of audio portions. Detecting and indexing such portions enables fast retrieval and shows better performance than sequential search-based audio retrieval. Moreover, this scheme is independent of underlying retrieval system, which means this scheme can work together with any other audio retrieval system. We have implemented a prototype system and showed its performance gain through experiments.

Event Semantic Photo Retrieval Management System based on MPEG-7 (MPEG-7 기반의 이벤트 의미 포토 검색 관리 시스템)

  • Ahn, Byeong-Tae;Chung, Bhum-Suk;Lee, Chong-Ha
    • The Journal of the Korea Contents Association
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    • v.7 no.1
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    • pp.1-9
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    • 2007
  • Semantic photo retrieval has been an important role in reducing the semantic gap between the simple visual features and the abundant semantics delivered by a photo. Effective photo retrieval using semantics is one of the major challenges in photo retrieval. And we propose a new event semantic photo retrieval method by using photo annotation user interface. In this paper, A photo album management system that facilitates photo management and semantic retrieval, which fully relies on the MPEG-7 standard as an information base and a native XML database, has been designed and implemented.

A Semantic-based Video Retrieval System using Design of Automatic Annotation Update and Categorizing (자동 주석 갱신 및 카테고라이징 기법을 이용한 의미기반 동영상 검색 시스템)

  • 김정재;이창수;이종희;전문석
    • Journal of the Korea Computer Industry Society
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    • v.5 no.2
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    • pp.203-216
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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 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.

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A Semantic-based Video Retrieval System Using the Automatic Indexing Agent (자동 인덱싱 에이전트를 이용한 의미기반 비디오 검색 시스템)

  • Kim Sam-Keun;Lee Jong-Hee;Yoon Sun-Hee;Lee Keun-Soo;Seo Jeong-Min
    • Journal of Korea Multimedia Society
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    • v.9 no.1
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    • pp.127-137
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    • 2006
  • 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 automatic indexing 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 propose the system that can heighten retrieval efficiency of video data through semantic-based retrieval.

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