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storage and retrieval for Media databases 2001

This Volume 4315 of the conference proceedings contains 620 papers. Topics discussed include search and retrieval of image database, indexing, querying and learning, media information systems, multimodel retrieval, fe... 详细信息

关键词： Information retrieval systems

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COMPARISON OF SUBBAND FEATURES FOR AUTOMATIC-INDEXING OF SCIENTIFIC image databases 2

COMPARISON OF SUBBAND FEATURES FOR AUTOMATIC-INDEXING OF SCI...

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conference on storage and retrieval for image and video databases II

作者： PEREZLOPEZ, K SOOD, A GEORGE MASON UNIV CTR IMAGE ANALFAIRFAXVA 22030

ISBN: (纸本)0819414808

Indexing of scientific image databases is a difficult task, due to their extraordinary sizes and to the complex nature of the visual information contained in them. This data volume and complexity require an automatic indexing scheme that will categorize this visual content; without it, the data will be essentially useless to scientists and medical doctors. A method for automatic indexing of scientific image databases is presented which involves a wavelet package decomposition of images in the frequency domain, resulting in a quad-tree of subbands. These subbands are regarded as realizations of random fields, and statistical measures are computed on them. One class of newly derived measures determines whether the subbands contain any significant organization of pixels beyond what chance would imply. If this is found to be true for a subband, its node is retained on an index tree, and other identifying measurements may be added. The structure of the resulting pruned subband tree constitutes the first level of index; the node statistics form a second indexing level. Results of a pilot study are reported; they suggest that further investigation of this approach is warranted.

关键词： databases Electronic filtering Visualization Wavelets image filtering image processing Information visualization Earth observing sensors Satellite imaging Satellites

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Semantic feature extraction for interior environment understanding and retrieval

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 480-491页

作者： Lei, Zhibin Liang, Yufeng Bell Lab Murray Hill United States

In this paper we propose a novel system of semantic feature extraction and retrieval for interior design and decoration application. The system, V2ID (Virtual Interior Design), uses colored texture and spatial edge layout to obtain simple information about global room environment. We address the domain specific segmentation problem in our application and present techniques for obtaining semantic features from a room environment. We also discuss heuristics for making use of these features (color, texture, edge layout and shape) to retrieve objects from an existing database. The final resynthesized room environment with original scene and objects from database is created for the purpose of animation and virtual walk-through.

关键词： Feature extraction

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Querying multiple perspective video

Querying multiple perspective video

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7th storage and retrieval for image and video databases conference

作者： Santini, S Gupta, A Jain, R Univ Calif San Diego Visual Comp Lab San Diego CA 92103 USA

ISBN: (纸本)0819431273

This paper introduces a model of spatio-temporal database that we are developing to query interesting events in video sequences. The database that we are designing is pushing the state of the art for a number of fields, and there are many issues that are still waiting a satisfactory solution. In this paper we present our (albeit still partial) answer to some of these problems, and the future directions of our work. Our design is divided in two layers: a Logbook which operates as a short time repository of unsummarized and unprocessed data, and a long term spatio-temporal database which stores and queries sumamrized data.

关键词： databases Data modeling Sensors video Data storage video surveillance 3D modeling Data processing Cameras Environmental sensing

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image descriptors based on fractal transform analysis

Image descriptors based on fractal transform analysis

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7th storage and retrieval for image and video databases conference

作者： Demko, S Khosravi, M Chen, K Iterated Syst Inc Atlanta GA 30305 USA

ISBN: (纸本)0819431273

The Fractal Transform (FT) was originally introduced as a methodology for compressing digital images and representing them at different scales. The process of calculating an FT generates a great dear of information about the affine similarities and dissimilarities of an image, most of which is discarded in compression applications. In this paper we introduce the concept of Fractal Transform Analysis and use it to derive new image descriptors. We present results of experiments in which description schemes comprised of some of these FT-based descriptors are applied to the problems of finding objects in an image similar to a given object, of indexing images, and of querying an image database consisting of about 17,000 images. Complexity and timing data are also presented.

关键词： image databases content-based indexing and retrieval descriptor scheme image descriptor fractal transform

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A content-based storage and retrieval scheme for image and video databases

A content-based storage and retrieval scheme for image and v...

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Visual Communications and image Processing 1998 conference

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

ISBN: (纸本)0819427497

In this paper, a technique is presented to locate and track the facial areas in image and video databases. The extracted facial regions are used to obtain a number of features that are suitable for content-based storage and retrieval. The proposed face localization method consists of essentially two components: i) a color processing unit, and ii) a shape and color analysis module. The color processing component utilizes the distribution of skin-tones in the HSV color space to obtain an initial set of candidate regions or objects. The latter shape and color analysis module is used to correctly identify the facial regions when falsely detected objects are extracted. A number of features such as hair color, skin-tone, and face location and size are subsequently determined from the extracted facial areas. The hair and skin colors provide useful descriptions related to the human characteristics while the face location and size can reveal information about the activity within the scene (i.e. spatial relationships with other objects), and the type of image (i.e. portrait shot, complete body). These features can be effectively combined with others and employed in user queries to retrieve particular facial images.

关键词： facial image databases face location content-based storage/retrieval color segmentation

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image descriptors based on fractal transform analysis

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 379-389页

作者： Demko, Stephen Khosravi, Mehdi Chen, Keshi Iterated Systems Inc Atlanta United States

The Fractal Transform (FT) was originally introduced as a methodology for compressing digital images and representing them at different scales. The process of calculating an FT generates a great deal of information about the affine similarities and dissimilarities of an image, most of which is discarded in compression applications. In this paper we introduce the concept of Fractal Transform Analysis and use it to derive new image descriptors. We present results of experiments in which description schemes comprised of some of these FT-based descriptors are applied to the problems of finding objects in an image similar to a given object, of indexing images, and of querying an image database consisting of about 17,000 images. Complexity and timing data are also presented.

关键词： image analysis

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video query formulation

Video query formulation

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storage and retrieval for image and video databases iii

作者： Ahanger, Gulrukh Benson, Dan Little, Thomas D. Boston Univ. Boston MA USA

ISBN: (纸本)081941767X

For developing advanced query formulation methods for general multimedia data, we describe the issues related to video data. We distinguish between the requirements for image retrieval and video retrieval by identifying queryable attributes unique to video data, namely audio, temporal structure, motion, and events. Our approach is based on visual query methods to describe predicates interactively while providing feedback that is as similar as possible to the video data. An initial prototype of our visual query system for video data is presented.

关键词： video signal processing

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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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Interfaces for emergent semantics in multimedia databases

Interfaces for emergent semantics in multimedia databases

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7th storage and retrieval for image and video databases conference

作者： Santini, S Jain, R Univ Calif San Diego Visual Comp Lab La Jolla CA 92093 USA

ISBN: (纸本)0819431273

In this paper we introduce our approach to multimedia database interfaces. Although we deal mainly with image databases, most of the ideas we present can be generalized to other types of data. We argue that, when dealing with complex data, such as images, the problem of access must be redefined along different lines than text databases. In multimedia databases, the semantics of the data is imprecise, and depends in part on user's interpretation. This observation made us consider the development of interfaces in which the user explores the database rather than querying it. In this paper we give a brief justification of our position and present the exploratory interface that we have developed for our image database El nino.

关键词： human machine interfaces image databases emergent semantics interaction

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