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storage and retrieval for image and video databases III

作者： Gargi, U. Oswald, S. Koshiba, D.A. Devadiga, Sadashiva Kasturi, Rangachar The Pennsylvania State Univ. University Park PA USA United States

ISBN: (纸本)081941767X

As a first step to creating a video database, a video sequence has to be segmented into several subsequences based on significant changes in the scene. This enables the media user to identify the whole or a part of the sequence and to retrieve scenes of interest from a large video database. Researchers in the past have used a histogram based inter-frame difference approach to identify significant scene changes. To determine which is the best color coordinate system for video indexing, we have evaluated the histogram based indexing method using different color coordinate systems - RGB, HSV, YIQ, L*a*b*, L*u*v* & Munsell - and compared the results for accuracy of indexing with reference to subjective indexing. Since it is difficult to determine the exact threshold value to obtain reasonably good results, we also propose a vide segmenting method called hierarchical histogram based indexing that segments a video sequence into several levels of subsequences using different levels of threshold.

关键词： video signal processing

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Tools and techniques for color image retrieval

Tools and techniques for color image retrieval

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storage and retrieval for Still image and video databases IV

作者： Smith, John R. Chang, Shih-Fu Columbia Univ. New York NY USA

ISBN: (纸本)0819420441

The growth of digital image and video archives is increasing the need for tools that effectively filter and efficiently search through large amounts of visual data. Towards this goal we propose a technique by which the color content of images and videos is automatically extracted to form a class of meta-data that is easily indexed. The color indexing algorithm uses the back- projection of binary color sets to extract color regions from images. This technique provides for both the automated extraction of regions and representation of their color content. It overcomes some of the problems with color histogram techniques such as high-dimensional feature vectors, spatial localization, indexing and distance computation. We present the binary color set back-projection technique and discuss its implementation in the VisualSEEk content- based image/video retrieval system for the World Wide Web. We also evaluate the retrieval effectiveness of the color set back-projection method and compare its performance to other color image retrieval methods.

关键词： Information retrieval systems

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Content-based image retrieval using color tuple histograms

Content-based image retrieval using color tuple histograms

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storage and retrieval for Still image and video databases IV

作者： Rickman, Richard M. Stonham, T.John Brunel Univ. Uxbridge Middx UK

ISBN: (纸本)0819420441

Color histograms have been shown to be very effective in representing images for content- based retrieval systems. They are compact, robust and amenable to computer analysis. However, such histograms convey only global image properties and do not embody local color information which is so important when comparing and contrasting images. We present a novel image coding scheme which captures some of this locally correlated color information and improves the selectivity of the retrieval mechanism - an important issue for very large databases. The technique uses a histogram of features which represent frequently occurring local combinations color tuples occurring throughout the image. It outperforms straight color histogram matching. We outline the thrust of our approach and discuss the factors affecting the efficacy of the retrieval mechanism using a database of color images.

关键词： Information retrieval systems

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Feature identification as an aid to content-based image retrieval

Feature identification as an aid to content-based image retr...

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storage and retrieval for image and video databases III

作者： Ramesh, Nagarajan Sethi, Ishwar K. Wayne State Univ. Detroit MI USA

ISBN: (纸本)081941767X

In recent years, databases have evolved from storing pure textual information to storing multimedia information - text, audio, video, and images. With such databases comes the need for a richer set of search keys that include keywords, shapes, sounds, examples, sketches, color, texture and motion. In this paper we address the problem of image retrieval where keys are object shapes or user sketches. In our scheme, shape features are extracted from each image as it is stored. The image is first segmented and points of high curvature are extracted. Regions surrounding the points of high curvature are used to compute feature values by comparing the regions with a number of references. The references themselves are picked out from the set of orthonormal wavelet basis vectors. An ordered set of distance measures between each local region and the wavelet references form a feature vector. When a user queries the database through a sketch, the feature vectors for high curvature points on the sketch are determined. An efficient nearest neighbor search then yields a set of images which contain objects that match the user's sketch closely. The process is completely automated. Initial experimental results are presented.

关键词： Information retrieval systems

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Ordinal measure of DCT coefficients for image correspondence and its application to copy detection

Ordinal measure of DCT coefficients for image correspondence...

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Conference on storage and retrieval for Media databases 2003

作者： Kim, C Epson Palo Alto Lab Palo Alto CA 94304 USA

ISBN: (纸本)0819448214

Detecting unauthorized copies of digital media (images, audio and video) is a basic requirement for Intellectual Property Right (IPR) protection. This paper proposes a novel method to detect copies of digital images. This copy detection scheme can be used as either an alternative approach or a complementary approach to watermarking. A test image is first reduced to 8x8 sub-image by intensity averaging, and then, the AC coefficients of its discrete cosine transform (DCT) are used to compute distance from those generated from the query image, of which a user wants to find copies. A challenge arises when copies are processed to avoid copy detection or enhance image quality. We show the ordinal measure of DCT coefficients, which is based on relative ordering of AC magnitude values and using distance metrics between two rank permutations, are robust to various modifications of the original image. The optimal threshold selection scheme using the maximum a posteriori (MAP) criterion is also addressed. Through simulations on the database of 40,000 images we show the effectiveness of the proposed system.

关键词： image copy detection copyright protection ordinal measure maximum a posteriori (MAP) criterion

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Wide-area-distributed storage system for multimedia database

Wide-area-distributed storage system for multimedia database

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7th storage and retrieval for image and video databases Conference

作者： Ueno, M Kinoshita, S Kuriki, M Murata, S Iwatsu, S NTT Integrated Informat & Energy Syst Labs Musashino Tokyo 1808585 Japan

ISBN: (纸本)0819431273

We have developed a wide-area-distributed storage system for multimedia databases that minimizes the possibility of simultaneous failure of multiple disks in the event of a major disaster. It features a RAID system whose member disks are spatially distributed over a wide area Each node has a device that includes the controller of the RAID and the controller of the member disks controlled by other nodes. The devices in the node are connected to a computer using fiber optic cables and communicate using Fibre-Channel technology. Any computer at a node can utilize multiple devices connected by optical fibers as a single "virtual disk". The advantage of this system structure is that devices and fiber optic cables are shared by the computers. In this report, we first describe our proposed system and a prototype we used for testing, Then we discuss its performance, i.e., how the read and write throughputs are affected by data-access delay, the RAID level, and queuing.

关键词： distributed system disaster-tolerant multimedia database system RAID fibre-channel wide distribution storage system file system

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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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State-of-the-Art in Content-Based image and video retrieval 1

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丛书名： Computational Imaging and Vision

1000年

作者： Remco C. Veltkamp Hans Burkhardt Hans-Peter Kriegel

ISBN: (数字)9789401596640

ISBN: (纸本)9781402001093;9789048158638

images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc.;This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based image and video retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory.;The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.

关键词： Multimedia Information Systems Information storage and retrieval Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics

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Intelligent video editing system using a neural network coding scheme

Intelligent video editing system using a neural network codi...

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storage and retrieval for image and video databases III

作者： Rickman, Richard M. Stonham, T.John Brunel Univ. Uxbridge Middx UK

ISBN: (纸本)081941767X

video editors are frequently required to access sections of a video sequence which contain a particular scene. This may be regarded as an image retrieval-by-content problem where the user wishes to select images from within a large database according to a measure of similarity to a target. We present an intelligent video editing system based on a neural network coding scheme. The transformation learnt by the neural network maps each image into a very compact index which supports rapid fuzzy matching of video images. The neural network is trained using a learning law which produces an information preserving transform. Trained in this way, the node learns features which characterize the distribution of scenes within the video sequence. Each image frame in the sequence is coded with respect to these features. We show how the system performs on a typical sequence of newsreel footage and discuss the factors affecting the performance of both the training and the retrieval mechanism.

关键词： video signal processing

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Guest Editorial Introduction to the Special Issue on image and video Processing for Digital Libraries

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IEEE Transactions on image Processing 2000年第1期9卷 1-2页

作者： Manjunath, B.S. Huang, T. Tekalp, A.M. Zhang, H.J. University of California Santa Barbara CA 93106 United States University of Illinois at Urbana-Champaign Urbana IL 61801 United States University of Rochester Rochester NY 14627 United States Microsoft Research China Beijing China

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