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Conference on storage and retrieval for image and video databases V

作者： Tao, B Robbins, K Dickinson, B Princeton Univ. (United States)

ISBN: (纸本)0819424331

We study the problem of retrieving images using a small template. The goal is to allow a user to search for images containing a pattern similar to the template, adding to the capability of a search engine. We propose to employ a segmentation-based approach. As a specific example, we introduce a quadtree segmentation technique for textured images and a distance measure, Sum of Minimum Distance, suitable for template-based image retrieval applications.

关键词： content-based image retrieval template-based image retrieval image segmentation Sum of Minimum Distance

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"Agent like" support for content based retrieval and navigation

"Agent like" support for content based retrieval and navigat...

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storage and retrieval for image and video databases VI Conference

作者： Radhakrishnan, P Lewis, PH Univ Southampton Multimedia Res Grp Southampton SO17 1BJ Hants England

ISBN: (纸本)0819427527

In this paper we show how agent-like processes may be used to support content based retrieval and navigation in MAVIS, a Multimedia architecture for video, image and Sound. The processes provide automatic classification of feature vectors from users' selections when a multimedia thesaurus(MMT) is present and feature vector clustering in the absence of an MMT.

关键词： intelligent agents content based retrieval content based navigation neural networks similarity measures thesaurus

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CONF ON storage AND retrieval FOR image AND video databases

作者： KITAMOTO, A ZHOU, C TAKAGI, M Univ. of Tokyo (Japan)

ISBN: (纸本)0819411418

An attributed relational graph (ARG) is introduced into our NOAA satellite image database system. The node and the branch of an ARG denotes a classified region and a spatial relationship between adjacent regions, respectively. Furthermore, a few attributes of a node/branch help to express numerical shape features of regions. Similarity retrieval thereby turns out to be equivalent to graph matching. The similarity retrieval process of the system is as follows: (1) select a visual example image as a query and generate its graph structure, (2) calculate an optimal graph matching cost between a query graph and an archived graph in the database, utilizing algorithm A^* with heuristic information, (3) choose archived images in the ascending order of a corresponding matching cost.

关键词： image retrieval databases Earth observing sensors Satellite imaging Satellites Clouds image processing Time metrology Visualization image visualization

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videoBase - a prototype of video database managing system

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 722-732页

作者： Bai, Xuesheng Xu, Guangyou Shi, Yuanchun Tsinghua Univ Beijing China

Content based retrieval on large multimedia database attracts the interests of many researchers, but the database architecture needed for content based retrieval is still an open problem. Traditional relation database system does not support the high-dimension feature form content description and indexing, thus is limited in its content based retrieval function. Some systems do support high-dimension feature form content description and indexing, but lacks descriptions and query expressions on media object content and relations. In this paper, we present our study results on query mechanism and proposed CbExpr - a powerful flexible query expression mechanism on media object. Based on CbExpr we proposed GMA (general mediabase architecture) - a general architecture for management and content based retrieval on large media databases, and videoBase - a content based video retrieval system is present as example of GMA. Basic thoughts, considerations, and definitions are presented in the paper, also with some implementation details.

关键词： Query languages

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video retrieval by still image analysis with imageMiner(TM) 5

Video retrieval by still image analysis with ImageMiner(TM)

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Conference on storage and retrieval for image and video databases V

作者： Kreyss, J Roper, M Alshuth, P Hermes, T Herzog, O Univ. Bremen (Germany)

ISBN: (纸本)0819424331

The large amount of available multimedia information (e.g. videos, audio, images) requires efficient and effective annotation and retrieval methods. As videos start playing a more important role in the frame of multimedia, we want to make these available for content-based retrieval. The imageMiner-System, which was developed at the University of Bremen in the AI group, is designed for content-based retrieval of single images by a new combination of techniques and methods from computer vision and artificial intelligence. In our approach to make videos available for retrieval in a large database of videos and images there are two necessary steps: First, the detection and extraction of shots from a video, which is done by a histogram based method and second, the construction of the separate frames in a shot to one still single image. This is performed by a mosaicing-technique. The resulting mosaiced image gives a one image visualization of the shot and can be analyzed by the the imageMiner-System. imageMiner has been tested on several domains, (e.g. landscape images, technical drawings), which cover a wide range of applications.

关键词： content based image retrieval video analysis mosaicing

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DEVELOPMENT OF OBJECT-ORIENTED MULTIMEDIA DATABASE AND ITS APPLICATION TO retrieval OF MAINTENANCE PARTS 2

DEVELOPMENT OF OBJECT-ORIENTED MULTIMEDIA DATABASE AND ITS A...

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Conference on storage and retrieval for image and video databases II

作者： ISHIKAWA, H MINEGISHI, N SHIMA, M KIRA, K TANAKA, S MITSUBISHI ELECTR CORP COMP & INFORMAT SYST LABKANAGAWAJAPAN

In this paper is presented a method of maintenance part information retrieval, applied to a multimedia database of elevator parts.

ISBN: (纸本)0819414808

In this paper is presented a method of maintenance part information retrieval, applied to a multimedia database of elevator parts.

关键词： Navigation systems databases Multimedia Computing systems Data modeling Document management Computer aided design Prototyping Process engineering Solid modeling

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MASS-storage MANAGEMENT FOR DISTRIBUTED image video ARCHIVES

MASS-STORAGE MANAGEMENT FOR DISTRIBUTED IMAGE VIDEO ARCHIVES

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CONF ON storage AND retrieval FOR image AND video databases

作者： FRANCHI, S GUARDA, R PRAMPOLINI, F IBM Semea Scientific and Technical Solution Ctr. (Italy)

ISBN: (纸本)0819411418

The realization of image/video database requires a specific design for both database structures and mass storage management. This issue has addressed the project of the digital image/video database system that has been designed at IBM SEMEA Scientific & Technical Solution Center. Proper database structures have been defined to catalog image/video coding technique with the related parameters, and the description of image/video contents. User workstations and servers are distributed along a local area network. image/video files are not managed directly by the DBMS server. Because of their wide size, they are stored outside the database on network devices. The database contains the pointers to the image/video files and the description of the storage devices. The system can use different kinds of storage media, organized in a hierarchical structure. Three levels of functions are available to manage the storage resources. The functions of the lower level provide media management. They allow it to catalog devices and to modify device status and device network location. The medium level manages image/video files on a physical basis. It manages file migration between high capacity media and low access time media. The functions of the upper level work on image/video file on a logical basis, as they archive, move and copy image/video data selected by user defined queries. These functions are used to support the implementation of a storage management strategy. The database information about characteristics of both storage devices and coding techniques are used by the third level functions to fit delivery/visualization requirements and to reduce archiving costs.

关键词： video databases Data storage Data archive systems video compression image compression Magnetism Systems modeling Standards development Visualization

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 208-218页

作者： Bai, Xuesheng Xu, Guangyou Shi, Yuanchun Tsinghua Univ Beijing China

Organizing video shots into hierarchy structures is very important for efficient browsing and retrieval on large video databases, and many shot organizing methods have been proposed. Most algorithms are based on automatic clustering schemes, which usually fail to give satisfactory results in real applications. In this paper, we proposed a preprocessing technology for interactive shot organizing - similarity sequence. It differs from traditional shot organizing methods in that it does not classify shots, instead it only reorders the shot sequence so that similar shots appear near each other, thus provides an effective interactive shot organizing interface and leaves the classification work to the user. A measure called similarity length was introduced to evaluate the similarity between adjacent shots in shot sequence, and an improved genetic algorithm was developed to calculate the similarity sequence. Basic thoughts and implementation details are provided, also with experiment results on real videos and analysis.

关键词： image analysis

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The design and implementation of an experimental video database system for supporting video retrieval from different perspectives 5

The design and implementation of an experimental video datab...

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Conference on storage and retrieval for image and video databases V

作者： Salam, S Hall, W Department of Electronics and Computer Science University of Southampton United Kingdom

ISBN: (纸本)0819424331

This paper describes the development of a prototype of a video database system, called VLdIO, that takes account of the importance of different perspectives in video retrieval. Text-based hierarchical structures are used for representing the contents of a video. The structures are used for supporting the required functionalities in organizing personalized video materials. In addition to support for indexing original video materials, the system also supports tools for re-indexing and maintaining the results of video retrieval. In other words it tries to fulfill the requirement of personalized video information management. The paper defines the requirement, outlines the key considerations in providing such support and describes the implemented system.

关键词： Information management

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Automatic and semiautomatic methods for image annotation and retrieval in query by image content (QBIC)

Automatic and semiautomatic methods for image annotation and...

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storage and retrieval for image and video databases iii

作者： Ashley, Jon Barber, Ron Flickner, Myron D. Hafner, James L. Lee, Dennis Niblack, Wayne Petkovic, Dragutin IBM Almaden Research Cent. San Jose CA USA United States

ISBN: (纸本)081941767X

Advances in technologies for scanning, networking, and CD-ROM, lower prices for large disk storage, and acceptance of common image compression and file formats have contributed to an increase in the number, size, and uses of on-line image collections. New tools are needed to help users create, manage, and retrieve images from these collections. We are developing QBIC (query by image content), a prototype system that allows a user to create and query image databases in which the image content - the colors, textures, shapes, and layout of images and the objects they contain - is used as the basis of queries. This paper describes two sets of algorithms in QBIC. The first are methods that allow `query by color drawing,' a form of query in which a user draws an approximate color version of an image, and similar images are retrieved. These are automatic algorithms in the sense that no user action is necessary during database population. Secondly, we describe algorithms for semi-automatic identification of image objects during database population, improving the speed and usability of this manually-intensive step. Once outlined, detailed queries on the content-properties of these individual objects can be made at query time.

关键词： image processing

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