• Title/Summary/Keyword: retrieval time

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Remote Material Handling Through Internet (인터넷을 통한 원격 자재취급에 관한 연구)

  • Kim, Seok-Ho;Han, Yeong-Geun;Park, Gang;Kang, Gyeong-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2002.11a
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    • pp.157-163
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    • 2002
  • Automated manufacturing systems are applied to shop floors as a tool for the increase of productivity and quality and the decrease of manufacturing lead times and industry accidents. One of the most important issue of the present day is the application of Internet. The development of Internet technologies makes manufacturing enterprises break spacial barriers between users and shop floors, and collect various field data in remote sites. In this research, an Internet-based remote control system for a small-sized automated storage and retrieval system is developed for the purpose of real-time monitoring and control of automatic production equipment. The developed system has a client-server architecture and transmits real-time images of the automated storage and retrieval system to a client by ar CCD camera connected to a server. Based on the transmitted images, the client sends commands to PLC of the server, and part storage and retrieval tasks are executed.

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Visual Location Recognition Using Time-Series Streetview Database (시계열 스트리트뷰 데이터베이스를 이용한 시각적 위치 인식 알고리즘)

  • Park, Chun-Su;Choeh, Joon-Yeon
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.4
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    • pp.57-61
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    • 2019
  • Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.

A Document Ranking Method by Document Clustering Using Bayesian SoM and Botstrap (베이지안 SOM과 붓스트랩을 이용한 문서 군집화에 의한 문서 순위조정)

  • Choe, Jun-Hyeok;Jeon, Seong-Hae;Lee, Jeong-Hyeon
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.7
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    • pp.2108-2115
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    • 2000
  • The conventional Boolean retrieval systems based on vector spae model can provide the results of retrieval fast, they can't reflect exactly user's retrieval purpose including semantic information. Consequently, the results of retrieval process are very different from those users expected. This fact forces users to waste much time for finding expected documents among retrieved documents. In his paper, we designed a bayesian SOM(Self-Organizing feature Maps) in combination with bayesian statistical method and Kohonen network as a kind of unsupervised learning, then perform classifying documents depending on the semantic similarity to user query in real time. If it is difficult to observe statistical characteristics as there are less than 30 documents for clustering, the number of documents must be increased to at least 50. Also, to give high rank to the documents which is most similar to user query semantically among generalized classifications for generalized clusters, we find the similarity by means of Kohonen centroid of each document classification and adjust the secondary rank depending on the similarity.

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An Integration Algorithm of X-tree and kd-tree for Efficient Retrieval of Spatial Database (공간 데이터베이스의 효율적인 검색을 위한 X-트리와 kd-트리의 병합 알고리즘)

  • Yoo, Jang-Woo;Shin, Young-Jin;Jung, Soon-Key
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3469-3476
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    • 1999
  • In spatial database based on spatial data structures, instead of one-dimensional indexing structure, new indexing structure which corresponds to multi-dimensional features of spatial objects is required. In order to meet those requirements, in this paper we proposed new indexing structure for efficient retrieval of spatial database by carrying through the feature analysis of conventional multi-dimensional indexing structures. To improve the sequential search method of supernodes in the conventional X-tree and to reduce the retrieval time in case of generating the huge supernode, we proposed a indexing structure integrating the kd-tree based on point index structure into the X-tree. We implemented the proposed indexing structure and analyzed its retrieval time according to the dimension and distribution of experimental data.

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Earth Mover's Distance Approximate Earth Mover's Distance for the Efficient Content-based Image Retreival (효율적인 내용 기반 이미지 검색을 위한 근사 Earth Mover's Distance)

  • Jang, Min-Hee;Kim, Sang-Wook
    • The KIPS Transactions:PartD
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    • v.18D no.5
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    • pp.323-328
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    • 2011
  • For content-based image retrieval, the earth mover's distance and the optimal color composition distance are proposed to measure the dissimilarity. Although providing good retrieval results, both methods are too time-consuming to be used in a large image database. To solve the problem, we propose a new distance function that calculates an approximate earth mover's distance in linear time. To calculate the dissimilarity in linear time, the proposed approach employs the space-filling curve. We have performed extensive experiments to show the effectiveness and efficiency of the proposed approach. The results reveal that our approach achieves almost the same results with the EMD in linear time.

Detection of face region for an effective News Retrieval (효과적인 뉴스 검색을 위한 얼굴 영역의 추출)

  • 윤일태;정승도;조정원;배영래;최병욱
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.81-84
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    • 2001
  • The retrieval techniques of multimedia contents have been developed along with MPEG-7. But as human being distinguishes objects with the eyesight, researches for high retrieval efficiency applied a high level computer vision technology are difficult because of the increase of processing time caused by complexity of algorithm, and the difficulty of an implementation. In this paper, for an effective news retrieval using the human face information, we suggest a method which extracts face information like as location, size and number of the face in the news video, and then we prove the validity of method by experiment.

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Content-Based Video Retrieval System Using Color and Motion Features (색상과 움직임 정보를 이용한 내용기반 동영상 검색 시스템)

  • 김소희;김형준;정연구;김회율
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.133-136
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    • 2001
  • Numerous challenges have been made to retrieve video using the contents. Recently MPEG-7 had set up a set of visual descriptors for such purpose of searching and retrieving multimedia data. Among them, color and motion descriptors are employed to develop a content-based video retrieval system to search for videos that have similar characteristics in terms of color and motion features of the video sequence. In this paper, the performance of the proposed system is analyzed and evaluated. Experimental results indicate that the processing time required for a retrieval using MPEG-7 descriptors is relatively short at the expense of the retrieval accuracy.

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Text Partitioned Indexing Method for Educational Documents (교육용 문서의 텍스트분할 색인)

  • Kang, Mu-Yeong;Lee, Sang-Gu
    • Journal of The Korean Association of Information Education
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    • v.3 no.2
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    • pp.72-84
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    • 2000
  • Information retrieval system plays a key role in the information society to store digital documents with efficiency and to provide user with the information through the retrieval very fast. Especially, indexing is a prerequisite function for the information retrieval system in order to retrieve the information of the documents effectively which are saved in database. In this paper, we propose an indexing method using text partition. This method can retrieve educational documents in short processing time. We applied the suggested indexing method to real information retrieval system, and proved its excellent functions through the demonstration.

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A screening study of human factors variables in designing multimedia information retrieval systems (정보습득용 멀티미디어 시스템의 인간공학적 설계변수 선별)

  • 김미정;한성호
    • Proceedings of the ESK Conference
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    • 1995.10a
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    • pp.56-61
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    • 1995
  • Multimedia systems present information by using various media, for example, video, sound, music, animation, movie, etc., in addition to the text which has long been used for conveying the information. Among many multimedia applications, the multimedia information retrieval systems commercialized in the form of multimedia encyclopedia CD-ROMs, benefit by using various media for their ability to present information in an efficient and complete way. But using various media may cause end users' confusion and furthermore, poor user-interface design often exacerbates the systems. For appropriate design of the user interface of multimedia information retrieval systems, we investigated the characteristics of the multimedia information retrieval systems and listed 35 variables that might affect the usability of the user interface. And we selected 10 variables through some procedures such as brainstorming, literature survey, expert opinion, relevance analysis and feasibility analysis, in order to perform a screening study which will remarkably reduce the cost and time in conducting subsequent human factors experiments.

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A Study on Efficient User Retrieval Feedback for Component Reuse (컴포넌트 재사용을 위한 효율적인 사용자 검색 피드백에 관한 연구)

  • Han Jung-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.3
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    • pp.379-384
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    • 2006
  • The paper describes a method of user feedback in order to enhance the retrieval effectiveness. In this paper, to overcome a weak point of the existing feedback function adapting fuzzy technique, we proposed the interaction function using gaussian function that gives different learning rate according to choice of components with same function. And, we grade degree that the user opinion is reflected to a system by applying user profile to the feedback function. User retrieval feedback method is adaptive retrieval method that makes a slow change for a long time using feedback function adapting gaussian function and user profile.

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