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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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Fast texture database retrieval using extended fractal features

Fast texture database retrieval using extended fractal featu...

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storage and retrieval for image and video databases VI

作者： Kaplan, Lance M. Murenzi, Romain Namuduri, Kameswara R. Dept. of Computer Science Ctr. for Theoretical Studies of Phy. Clark Atlanta University Atlanta GA 30314 United States

The increase in the number of multimedia databases consisting of images has created a need for a quick method to search these databases for a particular type of image. An image retrieval system will output images from the databases similar to the query image in terms of shape, color, and texture. For the scope of our work, we study the performance of multiscale Hurst parameters as texture features for database image retrieval over a database consisting of homogeneous textures. These extended Hurst features represent a generalization of the Hurst parameter for fractional Brownian motion (fBm) where the extended parameters quantize the texture roughness of an image at various scales. We compare the retrieval performance of the extended parameters against traditional Hurst features and features obtained from the Gabor wavelet. Gabor wavelets have previously been suggested for image retrieval applications because they can be turned to obtain texture information for a number of different scales and orientations. In our experiments, we form a database combining textures from the Bonn, Brodatz, and MIT VisTex databases. Over the hybrid database, the extended fractal features were able to retrieve a higher percentage of similar textures than the Gabor features. Furthermore, the fractal features are faster to compute that the Gabor features.

关键词： image retrieval

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image retrieval in multimedia databases: A survey

Image retrieval in multimedia databases: A survey

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IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

作者： Alemu, Yihun Koh, Jong-Bin Ikram, Muhammed Kim, Dong-Kyoo Department of Computer Engineering Ajou University Suwon Korea Republic of

ISBN: (纸本)9780769537627

In the past decades the advancement in the area of database management systems shifts towards multimedia. Multimedia information is very expressive, self explanatory, narrative, etc. Now a day the development of digital media, advanced network infrastructure and the easily available consumer electronics makes the multimedia revolution to run in an alarming rate [4] Inline with the advancement of database technology that incorporates multimedia data, an open question that always rose in the technology is how to retrieve/search images in the multimedia databases. There are a huge number of research works focusing on the searching mechanisms in image databases for efficient retrieval and tried to give supplementary suggestions on the overall systems. The growing of digital medias (digital camera, digital video, digital TV, e-book, cell phones, etc.) gave rise to the revolution of very large multimedia databases, in which the need of efficient storage, organization and retrieval of multimedia contents came into question. Among the multimedia data, this survey paper focuses on the different methods (approaches) and their evaluation techniques used by many of recent research works on image retrieval system. Many researchers develop and use lots of approaches towards image retrieval. This paper, in general, classified image retrieval into text based and content based, including the newly growing ontology based image retrieval system as one focus. We address, in this paper, the challenges, techniques and evaluation methods used in image retrieval systems through a detailed look of most recent works. © 2009 IEEE.

关键词： Digital storage

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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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Comparative study of strategies for illumination-invariant texture representations

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 653-664页

作者： Levienaise-Obadia, B. Kittler, J. Christmas, W. Univ of Surrey Guildford United Kingdom

Illumination invariance is of paramount importance to annotate video sequences stored in large videodatabases consistently. Yet, popular texture analysis methods such as multichannel filtering techniques do not yield illumination-invariant texture representations. In this paper, we assess the effectiveness of three illumination normalisation schemes for texture representations derived from Gabor filter outputs. The schemes aim at overcoming intensity scaling effects due to changes in ilumination conditions. A theoretical analysis and experimental results enable us to select one scheme as the most promising one. In this scheme, a normalising factor is derived at each pixel by combining the energy responses of different filters at that pixel. The scheme overcomes illumination variations well, while still preserving discriminatory textural information. Further statistical analysis may shed light on other interesting properties or limitations of the scheme.

关键词： image analysis

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Fast video segmentation using encoding cost data

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 699-709页

作者： De Queiroz, Ricardo L. Bozdagi, Gozde Sencar, Taha Xerox Corp Webster United States

This paper presents a simple and effective pre-processing method developed for the segmentation of MPEG compressed video sequences. The proposed method for scene-cut detection only involves computing the number of bits spent for each frame (encoding cost data), thus avoiding decoding the bitstream. The information is separated into I-, P-, B-frames, thus forming 3 vectors which are independently processed by a new peak detection algorithm based on overcomplete filter banks and on joint thresholding using a confidence number. Each processed vector yields a set of candidate frame numbers, i.e. 'hints' of positions where scene-cuts may have occurred. The 'hints' for all frame types are recombined into one frame sequence and clustered into scene cuts. The algorithm was not designed to distintuish among types of cuts but rather to indicate its position and duration. Experimental results show that the proposed algorithm is effective in detecting abrupt scene changes as well as gradual transitions. For precision demanding applications, the algorithm can be used with a low confidence factor just to select the frames that are worth being investigated by a more complex algorithm. The algorithm is not particularly tailored to MPEG and can be applied to most video compression techniques.

关键词： image segmentation

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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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Content-based image retrieval via distributed databases

Content-based image retrieval via distributed databases

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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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Searching images using Ultimedia Manager

Searching images using Ultimedia Manager

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storage and retrieval for image and video databases III

作者： Treat, H. Ort, Ed Ho, J. Vo, M. Jang, J.S. Hall, L. Tung, F. Petkovic, Dragutin IBM Santa Teresa Lab. San Jose CA USA United States

ISBN: (纸本)081941767X

IBM's Ultimedia Manager is a software product for management and retrieval of image data. The product includes both traditional database search and content based search. Traditional database search allows images to be retrieved by text descriptors or business data such as price, date, and catalog number. Content based search allows retrieval by similarity to a specified color, texture, shape, position or any combination of these. The two can be combined, as in 'retrieve all images with the text `beach' in their description, and sort them in order by how much blue they contain.' Functions are also available for fast browning, and for database navigation. The two main components of Ultimedia Manger are a database population tool to prepare images for query by identifying areas of interest and computing their features, and the query tool for doing retrievals. Application areas include stock photography, electronic libraries, retail, cataloging, and business graphics.

关键词： Information retrieval systems

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Content-based image retrieval in the world-wide-web - A web-agent for fetching portraits 5

Content-based image retrieval in the world-wide-web - A web-...

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storage and retrieval for image and video databases V 1997

作者： Munkelt, Olaf Kaufmann, Oliver Eckstein, Wolfgang Orleansstr. 34 München81667 Germany Technische Universität München Institut für Informatik Forschungsgruppe Bildverstehen Orleansstr. 34 München81667 Germany

This article propose a way to automatically retrieve images from the world-wide-web using a semantic description for images and an agent concept for the retrieval of images. The system represents image in a textual way, e.g. look for a portrait of the a specific person, or fetch an image showing a countryside in Southern California. This textual descriptions are fed in search machines, e.g. yahoo, alta-vista. The resulting html documents are seeked for links. The next step subsequently processes each link by fetching the document other the net, converting it to an ascii representation, and performing a full text search by using the image description. This leads to starting points of images which are retrieved via a web-agent. The image descriptions are decomposed in a set of parts containing image operations which are further processed, e.g. a set for representing the background of a portrait tries to find a homogeneous region in the image because this is likely to find in a portrait. Additional operations are performed on the foregroud, i.e. the image region which contains e.g. the face of a person. The system is realized using two C++ libraries: one for buildung up web-agents, LIWA++, and one for processing images, HORUS. © 1997 SPIE. All rights reserved.

关键词： image analysis

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