• Title/Summary/Keyword: retrieval interface

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Efficient Image Retrieval using Minimal Spatial Relationships (최소 공간관계를 이용한 효율적인 이미지 검색)

  • Lee, Soo-Cheol;Hwang, Een-Jun;Byeon, Kwang-Jun
    • Journal of KIISE:Databases
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    • v.32 no.4
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    • pp.383-393
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    • 2005
  • Retrieval of images from image databases by spatial relationship can be effectively performed through visual interface systems. In these systems, the representation of image with 2D strings, which are derived from symbolic projections, provides an efficient and natural way to construct image index and is also an ideal representation for the visual query. With this approach, retrieval is reduced to matching two symbolic strings. However, using 2D-string representations, spatial relationships between the objects in the image might not be exactly specified. Ambiguities arise for the retrieval of images of 3D scenes. In order to remove ambiguous description of object spatial relationships, in this paper, images are referred by considering spatial relationships using the spatial location algebra for the 3D image scene. Also, we remove the repetitive spatial relationships using the several reduction rules. A reduction mechanism using these rules can be used in query processing systems that retrieve images by content. This could give better precision and flexibility in image retrieval.

Intelligent DB Retrieval System for Marine Accidents Using FCM (FCM을 이용한 지능형 해양사고 DB 검색시스템 구축)

  • Park, Gyei-Kark;Han, Xu;Kim, Young-Ki;Oh, Se-Woong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.4
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    • pp.568-573
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    • 2009
  • Marine accidents have always caused huge economic losses, as well as environmental pollution. Prevention of marine accidents has become a focus of argumentation. The analysis of past accident cases, reviewing the experience and lessons, is important and necessary for preventing marine accidents. With the same subject above, the Korean Maritime Safety Tribunal provides for past marine accidents' written judgments and analysis of judgment and associated retrieval system on its homepage. In these systems, the name of the ship, accident occurrence time, accident pattern or related keywords are used as search conditions. However, most of the marine events' happening were not due to a single reason, but multiple ones. In addition, one marine event could often come under several categories. In this case, now the retrieval systems' DB is used on the Korean Maritime Safety Tribunal homepage was built based on single category and failed to be able to retrieve according to multiple reasons or multiple categories. In order to solve this problem, a more practical retrieval approach might be needed. Therefore, in this paper, a new retrieval system will be proposed, which using the linguistic label to describe the cluster after analyzing the relational properties between marine accidents and clustering by FCM algorithm, and then adding an interface to allow users to get the results they want through choosing multiple reasons or multiple categories.

User Adaptation Using User Model in Intelligent Image Retrieval System (지능형 화상 검색 시스템에서의 사용자 모델을 이용한 사용자 적응)

  • Kim, Yong-Hwan;Rhee, Phill-Kyu
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3559-3568
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    • 1999
  • The information overload with many information resources is an inevitable problem in modern electronic life. It is more difficult to search some information with user's information needs from an uncontrolled flood of many digital information resources, such as the internet which has been rapidly increased. So, many information retrieval systems have been researched and appeared. In text retrieval systems, they have met with user's information needs. While, in image retrieval systems, they have not properly dealt with user's information needs. In this paper, for resolving this problem, we proposed the intelligent user interface for image retrieval. It is based on HCOS(Human-Computer Symmetry) model which is a layed interaction model between a human and computer. Its' methodology is employed to reduce user's information overhead and semantic gap between user and systems. It is implemented with machine learning algorithms, decision tree and backpropagation neural network, for user adaptation capabilities of intelligent image retrieval system(IIRS).

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Discovery Layer in Library Retrieval: VuFind as an Open Source Service for Academic Libraries in Developing Countries

  • Roy, Bijan Kumar;Mukhopadhyay, Parthasarathi;Biswas, Anirban
    • Journal of Information Science Theory and Practice
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    • v.10 no.4
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    • pp.3-22
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    • 2022
  • This paper provides an overview of the emergence of resource discovery systems and services, along with their advantages, best practices, and current landscapes. It outlines some of the key services and functionalities of a comprehensive discovery model suitable for academic libraries in developing countries. The proposed model (VuFind as a discovery tool) performs like other existing web-scale resource discovery systems, both commercial and open-source, and is capable of providing information resources from different sources in a single-window search interface. The objective of the paper is to provide seamless access to globally distributed subscribed as well as open access resources through its discovery interface, based on a unified index. This model uses Koha, DSpace, and Greenstone as back-ends and VuFind as a discovery layer in the front-end and has also integrated many enhanced search features like Bento-box search, Geodetic search, and full-text search (using Apache Tika). The goal of this paper is to provide the academic community with a one-stop shop for better utilising and integrating heterogeneous bibliographic data sources with VuFind (https://vufind.org/vufind).

A Study on Intelligent Image Database based on Fuzzy Set Theory (퍼지이론에 기초한 지적 감성검색시스템에 관한 연구)

  • 김돈한
    • Archives of design research
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    • v.14 no.4
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    • pp.5-14
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    • 2001
  • Among Human Sensibility-oriented products a gap between the images that designers try to express through that product and users emotional evaluation becomes an issue. The data on the correlation between image words used for design evaluation and images used in the design process are especially significant. This study based on these correlations suggests a Fuzzy retrieval system supporting styling design with images and image words. In the system, the relational data are demonstrated by Fuzzy thesaurus as correlation coefficient from the degree of similarity among image words. And the degree of similarity is produced based on image evaluation. Image retrieval is conducted by the algorithm of Fuzzy thesaurus development, 1) among image words, 2) images to image words, 3) image words to images and 4) among images: 4 different modes are provided as retrieval modes. Also transfer between modes is carried by direct operating interface, therefore divergent thinking and convergent thinking is supported well. The system consists of operation for the gap and the measurement unit of emotional evaluation, and visualization units. Under unified interface environments are set in order for consistency of the operation.

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2D Sketch Based Query Interface with Coarse Filter for 3D Shape Matching

  • Lee, Jae-Ho;Park, Joon-Young
    • International Journal of CAD/CAM
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    • v.7 no.1
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    • pp.113-120
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    • 2007
  • Sketch based query plays an important role in shape matching for 3D shape retrieval system. Some researchers suggest the sketch based query interfaces. It is more effective to capture the needs of users rather than query by example. In this paper, we propose a new 2D sketch based query interface with coarse filters for shape matching. Coarse filtering enables to eliminate unfavorable shapes from shapes in DB. For the purpose of coarse filtering, we use two filters with the topological and geometric patterns. For the validity of our method, we show the experimental results.

A Scheduling Algorithm using The Priority of Broker for Improving The Performance of Semantic Web-based Visual Media Retrieval Framework (분산시각 미디어 검색 프레임워크의 성능향상을 위한 브로커 서버 우선순위를 이용한 라운드 로빈 스케줄링 기법)

  • Shim, Jun-Yong;Won, Jae-Hoon;Kim, Se-Chang;Kim, Jung-Sun
    • Journal of KIISE:Software and Applications
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    • v.35 no.1
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    • pp.22-32
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    • 2008
  • To overcome the weakness of the image retrieval system using the existing Ontology and the distributed image based on the database having a simple structure, HERMES was suggested to ensure the self-control of various image suppliers and support the image retrieval based on semantic, the mentioned framework could not solve the problems which are not considered the deterioration in the capacity and scalability when many users connect to broker server simultaneously. In this paper the tables are written which in the case numerous users connect at the same time to the supply analogous level of services without the deterioration in the capacity installs Broker servers and then measures the performance time of each inner Broker Component through Monitoring System and saved and decides the ranking in saved data. As many Query performances are dispersed into several Servers User inputted from the users Interface with reference to Broker Ranking Table, Load Balancing system improving reliability in capacity is proposed. Through the experiment, the scheduling technique has proved that this schedule is faster than existing techniques.

Design of Moving Picture Retrieval System using Scene Change Technique (장면 전환 기법을 이용한 동영상 검색 시스템 설계)

  • Kim, Jang-Hui;Kang, Dae-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.3
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    • pp.8-15
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    • 2007
  • Recently, it is important to process multimedia data efficiently. Especially, in case of retrieval of multimedia information, technique of user interface and retrieval technique are necessary. This paper proposes a new technique which detects cuts effectively in compressed image information by MPEG. A cut is a turning point of scenes. The cut-detection is the basic work and the first-step for video indexing and retrieval. Existing methods have a weak point that they detect wrong cuts according to change of a screen such as fast motion of an object, movement of a camera and a flash. Because they compare between previous frame and present frame. The proposed technique detects shots at first using DC(Direct Current) coefficient of DCT(Discrete Cosine Transform). The database is composed of these detected shots. Features are extracted by HMMD color model and edge histogram descriptor(EHD) among the MPEG-7 visual descriptors. And detections are performed in sequence by the proposed matching technique. Through this experiments, an improved video segmentation system is implemented that it performs more quickly and precisely than existing techniques have.

A Study on Radiological Image Retrieval System (방사선 의료영상 검색 시스템에 관한 연구)

  • Park, Byung-Rae;Shin, Yong-Won
    • Journal of radiological science and technology
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    • v.28 no.1
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    • pp.19-24
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    • 2005
  • The purpose of this study was to design and implement a useful annotation-based Radiological image retrieval system to accurately determine on education and image information for Radiological technologists. For better retrieval performance based on large image databases, we presented an indexing technique that integrated $B^+-tree$ proposed by Bayer for indexing simple attributes and inverted file structure for text medical keywords acquired from additional description information about Radiological images. In our results, we implemented proposed retrieval system with Delphi under Windows XP environment. End users, Radiological technologists, are able to store simple attributes information such as doctor name, operator name, body parts, disease and so on, additional text-based description information, and Radiological image itself as well as to retrieve wanted results by using simple attributes and text keywords from large image databases by graphic user interface. Consequently proposed system can be used for effective clinical decision on Radiological image, reduction of education time by organizing the knowledge, and well organized education in the clinical fields. In addition, It can be expected to develop as decision support system by constructing web-based integrated imaging system included general image and special contrast image for the future.

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Design of Multimensional Contents Retrieval Browser for IPTV (IPTV를 위한 다차원 콘텐츠 검색 브라우저의 설계)

  • Choi, Yoo-Joo;Oh, Jung-Min;Byeon, Jae-Hee;Moon, Nam-Mee
    • The Journal of the Korea Contents Association
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    • v.10 no.8
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    • pp.138-146
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    • 2010
  • Interest in IPTV content increases, the number of users quickly and easily find the need for an interface that can be consumed as well as the individual's taste is reflected in the menu structure is an emerging demand. Existing IPTV content depending on the browser menu, use the intuitive search criteria are presented differently, this is difficult and not take into account the characteristics of the user by providing an interface for users to interact with the content was limited. In this paper propose According to user requirements in IPTV, regardless of the type of content applicable to the multidimensional contents retrieval browser. This applies equally to the menu category and multidimensional approach based on simple, intuitive and can be used to visualize the content by users without detailed information about the multi-dimensional search to only the desired content will be available for consumption.