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检索条件"任意字段=Storage and Retrieval for Image and Video Databases III"

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Forensic handwritten document retrieval system

Forensic handwritten document retrieval system

引用

International Workshop on Document image Analysis for Libraries

作者： S.N. Srihari Z. Shi State University of New York Buffalo USA

Document storage and retrieval capabilities of the CEDAR-FOX forensic handwritten document examination system are described. The system is designed for automated and semiautomated analysis of scanned handwritten documents. For library creation, the system provides functionalities for (i) entering document metadata, e.g., identification number, writer and other collateral information, (ii) creating a textual transcript of the image content at the word level, and (iii) including automatically extracted document level features, e.g., stroke width, slant, word gaps, as well as finer features that capture the structural characteristics of characters and words. For extracting these features the system performs page analysis, page segmentation, line separation, word segmentation and finally recognition of characters and words. The extracted features are used for writer identification by matching against a library built as a database. The system design is driven by questioned document examination with its emphasis on writer identification. Several query modalities are permitted for retrieval: (i) document level: the entire document image is the query; (ii) partial image: a region of interest (ROI) of a document; (ii) word image: which is also called word spotting; (iv) text keyword: the user can type in keywords ranging from the words in the documents, case number, person names, time and the preregistered keywords such as brief descriptions of the case. The system has been implemented using Microsoft visual C++ and tested using MySQL database system from MySQL ABTM. It provides as a graphical user interface for forensic document identification, verification and analysis.

关键词： Forensics Feature extraction Libraries Data mining image segmentation Performance analysis Character recognition image databases Spatial databases System analysis and design

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video retrieval using speech and image information

Video retrieval using speech and image information

引用

Conference on storage and retrieval for Media databases 2003

作者： Hauptmann, AG Jin, R Ng, TD Carnegie Mellon Univ Sch Comp Sci Pittsburgh PA 15213 USA

ISBN: (纸本)0819448214

video contains multiple types of audio and visual information, which are difficult to extract, combine or trade-off in general video information retrieval. This paper provides an evaluation on the effects of different types of information used for video retrieval from a video collection. A number of different sources of information are present in most typical broadcast video collections and can be exploited for information retrieval. We will discuss the contributions of automatically recognized speech transcripts, image similarity matching, face detection and video OCR in the contexts of experiments performed as part of 2001 TREC video retrieval Track evaluation performed by the National Institute of Standards and Technology. For the queries used in this evaluation, image matching and video OCR proved to be the deciding aspects of video information retrieval.

关键词： video search and retrieval video indexing multimedia information retrieval

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New anchor selection methods for image retrieval

New anchor selection methods for image retrieval

引用

Conference on storage and retrieval for Media databases 2003

作者： Natsev, A Smith, JR IBM Corp TJ Watson Res Ctr Hawthorne NY 10532 USA

ISBN: (纸本)0819448214

Anchoring is a technique for representing objects by their distances to a few well chosen landmarks, or anchors. Objects are mapped to distance-based feature vectors, which can be used for content-based retrieval, classification, clustering, and relevance feedback of images, audio, and video. The anchoring transformation typically reduces dimensionality and replaces expensive similarity computations in the original domain with simple distance computations in the anchored feature domain, while guaranteeing lack of false dismissals. Anchoring is therefore surprisingly simple, yet effective, and flavors of it have seen application in speech recognition, audio classification, protein homology detection, and shape matching. In this paper, we describe the anchoring technique in some detail and study methods for anchor selection, both from an analytical, as well as empirical, standpoint. Most work to date has largely ignored this problem by fixing the anchors to be the entire set of objects or by using greedy selection from among the set of objects. We generalize previous work by considering anchors from outside of the object space, and by deriving an analytical upper bound on the distance-approximation error of the method.

关键词： image retrieval databases Error analysis Feature extraction Vector spaces video image classification Proteins Transform theory Visualization

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Content-based search and annotations in multimedia digital libraries 4

Content-based search and annotations in multimedia digital l...

引用

4th Mexican International Conference on Computer Science (ENC 2003)

作者： Arias, JA Sánchez, JA Univ Americas Puebla CENTIA Lab Interact & Cooperat Technol Cholula 72820 Mexico

ISBN: (纸本)0769519156

This paper describes a solution for the organization and management of multimedia collections in digital libraries. video U-DL-A (VUDLA) is an extension to a digital library that allows for storage, indexing and annotation of multimedia documents. It functions in such a way that text and image-based queries can be issued in order to retrieve specific scenes from digital video collections. Technologies such as image and speech processing, video streaming, multimedia databases, information retrieval and graphical user interfaces are integrated to produce a novel multimedia, multimodal environment which re-valuates text as an important medium for knowledge transmission. We have developed a fully operational testbed to explore multimedia data properties and organization possibilities as well as a wide range of practical applications.

关键词： Graphical user interfaces image retrieval Indexing Information retrieval Layout Multimedia databases Software libraries Speech processing Streaming media Testing

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

Unsupervised learning of arbitrarily shaped clusters with ap...

引用

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

Ordinal measure of DCT coefficients for image correspondence...

引用

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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Automatic soccer video analysis and summarization

Automatic soccer video analysis and summarization

引用

Conference on storage and retrieval for Media databases 2003

作者： Ekin, A Tekalp, AM Univ Rochester Dept Elect & Comp Engn Rochester NY 14627 USA

ISBN: (纸本)0819448214

We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The proposed framework includes some novel low-level soccer video processing algorithms, such as dominant color region detection, robust shot boundary detection, and shot classification, as well as some higher-level algorithms for goal detection, referee detection, and penalty-box detection. The system can output three types of summaries: i) all slow-motion segments in a game, ii) all goals in a game, and iii) slow-motion segments classified according to object-based features. The first two types of summaries are based on cinematic features only for speedy processing, while the summaries of the last type contain higher-level semantics. The proposed framework is efficient, effective, and robust for soccer video processing. It is efficient in the sense that there is no need to compute object-based features when cinematic features are sufficient for the detection of certain events, e.g. goals in soccer. It is effective in the sense that the framework can also employ object-based features when needed to increase accuracy (at the expense of more computation). The efficiency, effectiveness, and the robustness of the proposed framework are demonstrated over a large data set, consisting of more than 13 hours of soccer video, captured at different countries and conditions.

关键词： soccer video processing cinematic features object-based features shot classification slow-motion replay detection semantic event detection soccer video summarization

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引用

Conference on storage and retrieval for Media databases 2003

作者： Eidenberger, H Breiteneder, C Vienna Tech Univ Inst Software Technol & Interact Syst A-1040 Vienna Austria

ISBN: (纸本)0819448214

The focus of this paper is on similarity modeling. In the first part we revisit underlying concepts of similarity modeling and sketch the currently most used VIR similarity model (Linear Weighted Merging, LWM). Motivated by its drawbacks we introduce a new general similarity model called Logical retrieval (LR) that offers more flexibility than LWM. In the second part we integrate the Feature Contrast Model (FCM) in this environment, developed by psychologists to explain human peculiarities in similarity perception. FCM is integrated as a general method for distance measurement. The results show that FCM performs (in the LR context) better than metric-based distance measurement. Euclidean distance is used for comparison because it is used in many VIR systems and is based on the questionable metric axioms. FCM minimizes the number of clusters in distance space. Therefore it is the ideal distance measure for LR. FCM allows a number of different parameterizations. The tests reveal that in average a symmetric, non-subtractive configuration that emphasizes common properties of visual objects performs best. Its major drawback in comparison to Euclidean distance is its worse performance (in terms of query execution time).

关键词： visual information retrieval Content-based image retrieval Content-based video retrieval visual similarity measurement similarity modeling linear weighted merging logical retrieval feature contrast model boolean retrieval vector space model

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A comprehensive progressive decoding for JPEG compressed image

A comprehensive progressive decoding for JPEG compressed ima...

引用

Conference on storage and retrieval for Media databases 2003

作者： Feng, GC Baharudin, B Jiang, JM Univ Bradford Sch Informat EIMC Bradford BD7 1DP W Yorkshire England

ISBN: (纸本)0819448214

The explosive growth of images and videos on the World Wide Web (WWW) is making the Web into a huge resource of visual information. Among various types of multimedia information, still images or dynamic images (video clips) in compressed format are the most widely accepted on the WWW. Therefore, it becomes an essential issue to achieve the maximum efficiency in transmitting and decoding those compressed images on the Internet. Progressive coding provides a mode that allows a coarse version of an image being transmitted at a lower bit rate and then gradually refined by subsequent transmissions. Compared with conventional coding, it is more suitable for interactive applications such as those involving JPEG images on the Internet. In this paper, we first give an approximation of cosine function used in IDCT for the various orders. Based on the approximation and a series analysis, we then develop a progressive decoding scheme which comprehends the successive approximation and the spectral selection. The analysis and experiments establish the fact that our proposed method saves computational cost significantly in comparison with the existing spectral selection based progressive decoding proposed by JPEG. Extensive experiments are carried out to evaluate the proposed algorithm, which reveals that, the reconstructed images, even at the lowest bit rate and with lower order approximation, can still achieve encouraging PSNR values.

关键词： progressive coding JPEG compressed image successive approximation and spectral selection

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Handbook of video databases 1

引用

丛书名： Internet and Communications

2003年

作者： Furht, Borivoje Furht, Borko Fuhrt, Borko

ISBN: (数字)9780203489864

ISBN: (纸本)9780849370069

Technology has spurred the growth of huge image and video libraries, many growing into the hundreds of terabytes. As a result there is a great demand among organizations for the design of databases that can effectively support the storage, search, retrieval, and transmission of video data. Engineers and researchers in the field demand a comprehensive reference that will help them design and implement the most complex video database *** of video databases: Design and Applications presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. This book provides the tools to help overcome the problems of storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines.

关键词： internet communication applications design video databases handbookGraphic Design Design & Decorative Arts Arts & Photography

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