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Content-based image retrieval via distributed databases

Content-based image retrieval via distributed databases

引用

2008 International conference on image and video retrieval, CIVR 2008

作者： Jarrah, Kambiz Guan, Ling Ryerson Multimedia Research Laboratory Department of Electrical and Computer Engineering Ryerson University Toronto ON Canada Canada Research Chair Department of Electrical and Computer Engineering Ryerson University Toronto ON Canada

ISBN: (纸本)9781605580708

The overall objective of this paper is to present an extended application of Content-Based image retrieval (CBIR) over distributed (decentralized) image databases. Traditional image retrieval system design has implicitly relied on a local (centralized) query server, such as IBM's QBIC[1], Columbia's VisualSEEk[2], MIT's PhotoBook [3], and UCSD's Viagemtrade;[4]. With the growing popularity of the internet, however, the focus of the research in this area has been shifted toward content query over distributed databases. Ng et al.[5] has studied a peer-clustering model for the query with the assumption that the image collection at each peer node falls under one category. Even though, this assumption is effective for preliminary studies, it is unable to implant the practical end-user behaviors. Lee et al.[6] has introduced a novel approach to study practical scenarios where multiple image categories exist in each individual database in the distributed storage network. This approach is proven to be an effective method to improve retrieval precision via identifying the community neighborhood who shares similar content collection. The main focus of this paper is to study behavior of a CBIR engine in an interactive distributed environment. In the proposed approach, the query image is sent to all registered databases in the network. Response of each database is then collected and transferred to a local server where a supervised relevance identification approach is applied to identify final outcome of the search. Response of each database is quantified via estimating the statistical resemblance of top image candidates to the existing query image. Comprehensive experiments demonstrate feasibility of the proposed methodology. Copyright 2008 ACM.

关键词： Search engines

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Proceedings of the 1998 conference on Electronic Imaging and Multimedia Systems ii

Proceedings of the 1998 Conference on Electronic Imaging and...

引用

Proceedings of the 1998 conference on Electronic Imaging and Multimedia Systems ii

The proceedings contains 61 papers from the SPIE International Society for Optical Engineering Journal on Electronic Imaging and Multimedia Systems ii. Topics discussed include: image retrievals;gray image recognition;content-based image retrieval;color pattern selections;video segmentations;declarative video data retrieval languages;network databases;fast spatial transformations;moving object segmentation methods;anisotropic segmentations;video segmentation algorithms;wavelet-derived gradient computations;dual-band imaging systems;genetic algorithms;thermal image compression systems;multimedia-on-demand services;personal digital assistant (PDA) systems;and real-time nonlinear video authoring systems.

关键词： image processing

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Experience of animate similarity concepts in multimedia database 22

Experience of animate similarity concepts in multimedia data...

引用

22nd International conference on Data Engineering Workshops, ICDEW 2006

作者： Albanese, Massimiliano Chianese, Angelo Moscato, Vincenzo Picariello, Antonio Dipartimento di Informatica E Sistemistica University of Naples Federico II via Claudio 21 Naples80125 Italy

ISBN: (纸本)0769525717

This paper describes and reports an experience related to several applications of the Animate Vision Paradigm to query processing and indexing in multimedia databases. In particular we show as two main problems related to video and image databases may be usefully advantaged by an Animate image Similarity model, namely the video segmentation problem and the image retrieval task in a Query By Example environment. © 2006 IEEE.

关键词： Query processing

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An Exhaustive Study on Data Mining Techniques in Mining of Multimedia Database

An Exhaustive Study on Data Mining Techniques in Mining of M...

引用

International conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Yadav, Pramod Kumar Rizvi, S. A. M. Krishna Inst Engn & Technol Dept Comp Sci & Engn Ghaziabad India Jamia Millia Islamia Dept Comp Sci New Delhi India

ISBN: (纸本)9781479928996

Multimedia database can be define as a collection of storage and retrieval systems, in which large amount of media objects are created, modified, searched and retrieved, where as Multimedia is the combination of text, image, graphics, animations, audio and video. The extension of database application to handle multimedia objects requires synchronization of multiple media data streams. Multimedia data mining refers to the extraction of implicit knowledge, data relationships, or other patterns which are not stored in multimedia files explicitly. The system's overall performance in retrieval can be increase by indexing and classification of multimedia data with efficient information fusion of the different modalities is mandatory. Apart from text retrieval, the current waves in web searching and multimedia data retrieval are the search for and delivery of 3D scenes, images, music and video. The content-based multimedia information retrieval provides new techniques and methods for searching various multimedia databases over the world.

关键词： Query Optimization Spatial data mining web mining Text Mining image Mining Audio and video Mining Map Reduce

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Proceedings of the 1998 conference on Electronic Imaging and Multimedia Systems ii

Proceedings of the 1998 Conference on Electronic Imaging and...

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Proceedings of the 1998 conference on Electronic Imaging and Multimedia Systems ii

关键词： image processing

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Texture content based retrieval using text descriptions

Texture content based retrieval using text descriptions

引用

7th storage and retrieval for image and video databases conference

作者： Kuan, JKP Joyce, DW Lewis, PH ADC Metr Dev Grp Richmond TW9 1BN Surrey England

ISBN: (纸本)0819431273

We developed a content based retrieval scheme for texture by using text based description. The texture technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other methods that apply complicated statistics can be difficult to transcribe into understandable forms for normal users. Unlike these other methods, with the simplicity of our features, we can express them in terms of simple language. Hence we can bridge the gap between semantics and computed features. A number of benefits can be achieved which opens a new horizon for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the parts that they are interested in. This allows them to gradually refine their texture descriptions.

关键词： texture content based retrieval semantics language

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storage and retrieval Systems and Applications

Storage and Retrieval Systems and Applications

引用

storage and retrieval Systems and Applications

ISBN: (纸本)0819402958

The conference proceedings incorporates 29 papers that are subdivided into six sessions. These deal with optical media technologies;recording system technologies;mass storage systems and applications;and small-systems applications and peripherals. Topics considered include: computer graphics, databases, the publishing industry, image storage, optical disks, medical imaging, medical records, image processing, law enforcement, criminal identification, digital memory, image storage and retrieval, video recording, telescopes, recording heads, and magnetooptical recording.

关键词： Data storage, Optical

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video and image databases: who cares?

Video and image databases: who cares?

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases Vii

作者： Delp, Edward J. Purdue Univ West Lafayette IN United States

The aim of this report is to be controversial and to engage a debate within the research community. Issues of whether some of the work in image and video databases has been directed at solutions in search of a problem are discussed. Important applications in the area of media-based digital libraries that will enhance human experience are also detailed.

关键词： Database systems

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Fast encryption of image data using chaotic Kolmogorov flows 5

Fast encryption of image data using chaotic Kolmogorov flows

引用

conference on storage and retrieval for image and video databases V

作者： Scharinger, J Johannes Kepler Univ. Linz (Austria)

ISBN: (纸本)0819424331

To guarantee security and privacy A image transmission and archival applications, adequate efficient bulk encryption techniques are necessary which are able to cope with the vast amounts of image data involved. Experience has shown that block-oriented symmetric product ciphers constitute an adequate design paradigm for resolving this task, since they can offer a very high level of security as well as very high encryption rates. In this contribution we introduce a new product cipher which encrypts large blocks of plain-text (images) by repeated intertwined application of substitution and permutation operations. While almost all of the current product ciphers use fixed (predefined) permutation operations on small data blocks, our approach involves parameterizable (keyed) permutations on large data blocks (whole images) induced by specific chaotic systems (Kolmogorov flows). By combining these highly unstable dynamics with an adaption of a very fast shift register based pseudo-random number generator we obtain a new class of computationally secure product ciphers which are firmly grounded on systems theoretic concepts, offering many features that make them superior to contemporary bulk encryption systems when aiming at efficient image data encryption.

关键词： image encryption product ciphers chaotic systems Kolmogorov hows pseudo-random number generation shift registers

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video as an image data source: Efficient representations and applications

Video as an image data source: Efficient representations and...

引用

International conference on image Processing

作者： Anandan, P Irani, M Kumar, RT Bergen, J DAVID SARNOFF RES CTR PRINCETONNJ 08543

ISBN: (纸本)0780331222

The two fundamental advantages of video over still imagery are: (i) the ability capture temporal information, and (ii) the ability to acquire a continuously varying set of views of a scene. These advantages are obtained, however, at the cost of vastly increased amount of data. This paper describes an approach to video representation that is based on frame-to-frame alignment, mosaic construction, and 3D parallax recovery. The basic motivation behind our approach is to enable rapid access to the contents, while maintaining the data in a form as close to the source as possible. This representation supports a wide variety of applications that involve transmission, storage, visualization, retrieval, analysis, and manipulation of video sequences.

关键词： videotapes zero access time information image data A-DNA frame alignment representations parallax

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