• Title/Summary/Keyword: Retrieval system

Search Result 2,258, Processing Time 0.029 seconds

내용기반 음악 검색 시스템에서의 검색 속도 향상에 관한 연구 (A Study on the Retrieval Speed Improvement from Content-Based Music Information Retrieval System)

  • 윤원중;박규식
    • 대한전자공학회논문지SP
    • /
    • 제43권1호
    • /
    • pp.85-90
    • /
    • 2006
  • 본 논문에서는 빠르고 안정적이면서도 높은 검색 성공률을 보장하는 내용기반 음악 정보 검색 시스템을 구축하였다. 시스템 질의 구간이나 질의 길이에 따른 시스템 불안정성 문제를 해결할 수 있는 DB 구축 방법인 MFC기법과 각 Superclass별로 특징 벡터의 차수를 차등 적용하여 시스템의 검색 속도를 향상시킬 수 있는 기법을 적용하였다. Superclass를 적용한 시스템은 SuperClass를 적용하지 않은 시스템과의 검색 성공률, 검색 속도 그리고 검색 Precision 비교 실험에서 대등한 성능을 유지하면서 검색 속도를 $20\%\~40\%$ 향상시켰다.

A Semantic Content Retrieval and Browsing System Based on Associative Relation in Video Databases

  • Bok Kyoung-Soo;Yoo Jae-Soo
    • International Journal of Contents
    • /
    • 제2권1호
    • /
    • pp.22-28
    • /
    • 2006
  • In this paper, we propose new semantic contents modeling using individual features, associative relations and visual features for efficiently supporting browsing and retrieval of video semantic contents. And we implement and design a browsing and retrieval system based on the semantic contents modeling. The browsing system supports annotation based information, keyframe based visual information, associative relations, and text based semantic information using a tree based browsing technique. The retrieval system supports text based retrieval, visual feature and associative relations according to the retrieval types of semantic contents.

  • PDF

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

  • Bradshaw, Brian
    • Journal of Multimedia Information System
    • /
    • 제4권3호
    • /
    • pp.99-106
    • /
    • 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.

An Image Retrieval System with Adjustment for Human Subjectivity

  • Fukushima, Shigenobu;Ralescu, Anca
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
    • /
    • pp.1309-1312
    • /
    • 1993
  • We present a flexible retrieval system of face photographs based on their linguistic descriptions in terms of fuzzy perdicates. While natural for describing a face, linguistic expressions are also subjective, which affects the retrieval result. Thus, the capability of a retrieval system to adjust to different users becomes very important. In this research we use fuzzy logic techniques, for describing image data, inference for retrieval and adjustment to a new user. Experimental results of the adjustment are also included.

  • PDF

객체 데이터베이스를 이용한 내용기반 이미지 검색 전문가 시스템 (An Expert System for Content-based Image Retrieval with Object Database)

  • 김영민;김성인
    • 제어로봇시스템학회논문지
    • /
    • 제14권5호
    • /
    • pp.473-482
    • /
    • 2008
  • In this paper we propose an expert system for content-based image retrieval with object database. The proposed system finds keyword by using knowledge-base and feature of extracted object, and retrieves image by using keyword based image retrieval method. The system can decrease error of image retrieval and save running time. The system also checks whether similar objects exist or not. If not, user can store information of object in object database. Proposed system is flexible and extensible, enabling experts to incrementally add more knowledge and information. Experimental results show that the proposed system is more effective than existing content-based image retrieval method in running time and precision.

양 방향 이동 회전창고시스템에서 실현 가능한 시스템을 위한 인출 배치크기 (The Retrieval Batch Size for Feasible System in a Bi-directional Carousel System)

  • 장석화
    • 산업경영시스템학회지
    • /
    • 제36권3호
    • /
    • pp.118-125
    • /
    • 2013
  • This paper deals with the picking batch size which a bi-directional carousel system can be feasible. The items that customers order are retrieved from the bins of carousel with batch size. The mathematical equations representing rotary travel distance and retrieval lead time to pick a given batch size are derived. Rotary travel distance represents the distance which carousel system rotates to retrieve items in a batch. The bi-directional carousel system rotates to minimize the travel distance in retrieving the items in a batch. Rotary travel distance and retrieval lead time are analyzed for the batch size through the simulation approach. From the simulation, the retrieval batch size that carousel system can be feasible is obtained. A numerical example is shown to explain the solution procedure.

인터넷에 기반한 내용기반 검색 시스템 설계 (Content-Based Retrieval System Design over the Internet)

  • 김영호;강대성
    • 제어로봇시스템학회논문지
    • /
    • 제11권5호
    • /
    • pp.471-475
    • /
    • 2005
  • Recently, development of digital technology is occupying a large part of multimedia information like character, voice, image, video, etc. Research about video indexing and retrieval progresses especially in research relative to video. This paper proposes the novel notation in order to retrieve MPEG video in the international standards of moving picture encoding For realizing the retrieval-system, we detect DCT DC coefficient, and then we obtain shot to apply MVC(Mean Value Comparative) notation to image constructed DC coefficient. We choose the key frame for start-frame of a shot, and we have the codebook index generating it using feature of DC image and applying PCA(principal Component Analysis) to the key frame. Also, we realize the retrieval-system through similarity after indexing. We could reduce error detection due to distinguish shot from conventional shot detection algorithm. In the mean time, speed of indexing is faster by PCA due to perform it in the compressed domain, and it has an advantage which is to generate codebook due to use statistical features. Finally, we could realize efficient retrieval-system using MVC and PCA to shot detection and indexing which is important step of retrieval-system, and we using retrieval-system over the internet.

정보검색효율에 관한 연구 (A Study on the Effectiveness of Information Retrieval)

  • 윤구호
    • 한국문헌정보학회지
    • /
    • 제8권
    • /
    • pp.73-101
    • /
    • 1981
  • Retrieval effectiveness is the principal criterion for measuring the performance of an information retrieval system. The effectiveness of a retrieval system depends primarily on the extent to which it can retrieve wanted documents without retrieving unwanted ones. So, ultimately, effectiveness is a function of the relevant and nonrelevant documents retrieved. Consequently, 'relevance' of information to the user's request has become one of the most fundamental concept encountered in the theory of information retrieval. Although there is at present no consensus as to how this notion should be defined, relevance has been widely used as a meaningful quantity and an adequate criterion for measures of the evaluation of retrieval effectiveness. The recall and precision among various parameters based on the 'two-by-two' table (or, contingency table) were major considerations in this paper, because it is assumed that recall and precision are sufficient for the measurement of effectiveness. Accordingly, different concepts of 'relevance' and 'pertinence' of documents to user requests and their proper usages were investigated even though the two terms have unfortunately been used rather loosely in the literature. In addition, a number of variables affecting the recall and precision values were discussed. Some conclusions derived from this study are as follows: Any notion of retrieval effectiveness is based on 'relevance' which itself is extremely difficult to define. Recall and precision are valuable concepts in the study of any information retrieval system. They are, however, not the only criteria by which a system may be judged. The recall-precision curve represents the average performance of any given system, and this may vary quite considerably in particular situations. Therefore, it is possible to some extent to vary the indexing policy, the indexing policy, the indexing language, or the search methodology to improve the performance of the system in terms of recall and precision. The 'inverse relationship' between average recall and precision could be accepted as the 'fundamental law of retrieval', and it should certainly be used as an aid to evaluation. Finally, there is a limit to the performance(in terms of effectiveness) achievable by an information retrieval system. That is : "Perfect retrieval is impossible."

  • PDF

효율적인 질의응답시스템 개발을 위한 BM25기반의 단락 검색 시스템 (A BM25 based Passage Retrieval System for Developing an Efficient Question and Answering System)

  • 임희석;이영신;임해창
    • 컴퓨터교육학회논문지
    • /
    • 제6권4호
    • /
    • pp.23-30
    • /
    • 2003
  • 본 논문은 문서 단위 보다 작은 단락 단위의 검색 시스템을 사용하는 효율적인 질의 응답 시스템 개발을 위하여 문서 검색에서 성능이 검증된 Okapi 시스템의 BM25 알고리즘을 응용한 단락 검색 시스템을 제안하고, 단락 검색 시스템의 성능을 분석하고자 한다. 100만 건의 문서로 구성된 TREC Q&A track 테스트 컬렉션을 색인에 사용하고 TREC Q&A track 질의 집합 중 1~100번까지의 질의를 사용하여 실험한 결과 재현율이 100%가 되기 위해서는 문서 검색은 약 12만 문장을 검색해야 하는 반면, 단락 검색에서는 문서 검색의 약 1/70인 1700문장만으로도 100%의 재현율을 얻을 수 있음을 확인하였다.

  • PDF

FCM을 이용한 지식기반 데이터 베이스 검색 시스템의 구축 (Building of Database Retrieval System based on Knowledge using FCM)

  • 서기열;박계각;천대일;양원재
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
    • /
    • pp.205-208
    • /
    • 2000
  • Conventional database retrieval system have problems of being able to select data out of database only if the data exactly equal to retrieval conditions offered by users. If there are no data in database which exactly equal to users retrieval conditionals, the system can not provide adequate data. To solve these problems, cluster increase of FCM and re-initialization of algorithm were suggested in this study. And by interlocking knowledge-based database, built with FCM, to image database, new retrieval system was built to provide the data which are most appropriate for the requirement of users. We applied this new retrieval system to gift selection database system in pamphlet of mail order, and confirmed its effectiveness.

  • PDF