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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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Texture content based retrieval using text descriptions

Texture content based retrieval using text descriptions

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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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Fast encryption of image data using chaotic Kolmogorov flows 5

Fast encryption of image data using chaotic Kolmogorov flows

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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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Finding regions of interest for content-extraction

Finding regions of interest for content-extraction

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7th storage and retrieval for image and video databases conference

作者： Pauwels, EJ Frederix, G Katholieke Univ Leuven ESAT PSI Dept Elect Engn B-3001 Heverlee Belgium

ISBN: (纸本)0819431273

A major problem in Content-Based image retrieval (CBIR) is the unsupervised identification of perceptually salient regions in images. We contend that this problem can be tackled by mapping the pixels into various feature-spaces, whereupon they are subjected to a grouping-algorithm, In this paper we develop a robust and versatile non-parametric clustering algorithm that is able to handle the unbalanced and highly irregular clusters encountered in such CBIR-applications. The strength of our approach lies not so much in the clustering itself, but rather in the definition and use of two duster-validity indices that are independent of the cluster-topology. By combining them, an optimal clustering;can be identified, and experiments confirm that the associated clusters do indeed correspond to perceptually salient image-regions.

关键词： clustering segmentation content-extraction image-retrieval feature-extraction

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storage and retrieval Systems and Applications

Storage and Retrieval Systems and Applications

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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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Automated semantic structure reconstruction and representation generation for broadcast news

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 50-62页

作者： Huang, Qian Liu, Zhu Rosenberg, Aaron AT&T Labs - Research Red Bank United States

This paper addresses the problem of recovering the semantic structure of broadcast news. A hierarchy of retrievable units is automatically constructed by integrating information from different media. The hierarchy provides a compact yet meaningful abstraction of the broadcast news data similar to a conventional table of content that can serve as an effective index table, facilitating the capability of browsing through large amounts of data in a non-linear fashion. The recovery of the semantic structure of the data further enables the automated solutions in constructing visual representations that are relevant to the semantics as well as in establishing useful relationships among data units such as topic categorization and content based multimedia hyperlinking. Preliminary experiments of integrating different media for hierarchical segmentation of semantics have yielded encouraging results. Some of the results are presented and discussed in this paper.

关键词： image reconstruction

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Distributed data collection for a database of radiological image interpretations 5

Distributed data collection for a database of radiological i...

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conference on storage and retrieval for image and video databases V

作者： Long, LR Ostchega, Y Goh, GH Thoma, GR National Library of Medicine (United States) National Ctr. for Health Statistics (United States) Century Computing (United States)

ISBN: (纸本)0819424331

The National Library of Medicine, in collaboration with the National Center for Health Statistics and the National Institute for Arthritis and Musculoskeletal and Skin Diseases, has built a system for collecting radiological interpretations for a large set of x-ray images acquired as part of the data gathered in the second National Health and Nutrition Examination Survey. This system is capable of delivering across the Internet 5- and 10-megabyte x-ray images to Sun workstations equipped with X Window based 2048x2560 image displays, for the purpose of having these images interpreted for the degree of presence of particular osteoarthritic conditions in the cervical and lumbar spines. The collected interpretations can then be stored in a database at the National Library of Medicine, under control of the Illustra DBMS. This system is a client/server database application which integrates (1) distributed server processing of client requests, (2) a customized image transmission method for faster Internet data delivery, (3) distributed client workstations with high resolution displays, image processing functions and an on-line digital atlas, and (4) relational database management of the collected data.

关键词： radiographs digital xray client/server National Library of Medicine DBMS Internet DBMS

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Experience of animate similarity concepts in multimedia database 22

Experience of animate similarity concepts in multimedia data...

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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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Vector angular distance measure for indexing and retrieval of color

Vector angular distance measure for indexing and retrieval o...

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7th storage and retrieval for image and video databases conference

作者： Androutsos, D Plataniotis, KN Venetsanopoulos, AN Univ Toronto Dept Elect & Comp Engn Digital Signal & Image Proc Lab Toronto ON M5S 3G4 Canada

ISBN: (纸本)0819431273

A key aspect of image retrieval using color, is the creation of robust and efficient indices. In particular, the color histogram remains the most popular index, due primarily to its simplicity. However, the color histogram has a number of drawbacks. Specifically histograms capture only global activity, they require quantisation to reduce dimensionality, are highly dependent on the chosen color space, have no means to exclude a certain color from a query and can provide erroneous results due to gamma nonlinearity. In this paper we present a vector angular distance measure which is implemented as part of our database system. Our system does away with histogram techniques for color indexing and retrieval and instead implements color vector techniques. We use color segmentation to extract regions of prominent color and use representative vectors from these extracted regions in the image indices. This way we end up with a much smaller index which does not have the granularity of a histogram. Instead similarity is based on our vector angular distance measure between a query color vector and the indexed representative vectors.

关键词： color vectors angular measure color exclusion gamma nonlinearity

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Unsupervised learning of arbitrarily shaped clusters with application to image DataBase categorization

Unsupervised learning of arbitrarily shaped clusters with ap...

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conference on storage and retrieval for Media databases 2003

作者： Frigui, H Univ Memphis Dept Elect & Comp Engn Memphis TN 38152 USA

ISBN: (纸本)0819448214

Clustering is considered as one of the most important tools to organize and analyze large multimedia databases. In Content Based image retrieval (CBIR), Clustering can be used to categorize a large collection of images. This organization can be used to: (i) build an indexing structure;(ii) build a navigation system;or (iii) show the user the most representative images in a query by visual example. Most existing clustering techniques assume that the clusters have well-defined shapes (spherical or ellipsoidal). Thus, they are not suitable for image database categorization where images are usually mapped to high-dimensional feature vectors, and it is hard to even guess the shape of the clusters in the feature space. In this paper, we first describe a clustering approach, called SyMP, that can identify clusters of various shapes. Then, we demonstrate its ability to generate an efficient and compact summary of an image database. SyMP is based on synchronization of pulse-coupled oscillators. It is robust to noise and outliers, determines the number of clusters in an unsupervised manner, and identifies clusters of arbitrary shapes. The robustness of SyMP is an intrinsic property of the synchronization mechanism. To determine the optimum number of clusters, SyMP uses a dynamic and cluster dependent resolution parameter. To identify clusters of various shapes, SyMP models each cluster by an ensemble of Gaussian components.

关键词： robust clustering synchronization Gaussian mixture models image database categorization

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