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conference on storage and retrieval for Media databases 2001

作者： Ciocca, G Gagliardi, I Schettini, R CNR Ist Tecnol Informat Multimediali I-20131 Milan Italy

ISBN: (纸本)0819439932

The need to retrieve visual information from large image and video collections is shared by many application domains ([1, 11,) (13, 16)]. This paper describes the main features of Quicklook(2), a system that combines in a single framework the alphanumeric relational query, the content-based image query exploiting automatically computed low-level image features (such as color and texture), and the textual similarity query exploiting any textual annotations attached to image database items (such as figure captions or textual cards...).

关键词： image indexing image retrieval multimedia system content-based image analysis relevance feedback learning textual annotations

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Models for automatic classification of video sequences

Models for automatic classification of video sequences

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storage and retrieval for image and video databases VI conference

作者： Iyengar, G Lippman, A MIT Media Lab Cambridge MA 02139 USA

ISBN: (纸本)0819427527

In this paper, we explore a technique for automatic classification of video sequences, (such as a TV broadcast, movies). This technique analyses the incoming video sequences and classifies them into categories. It can be viewed as an on-line parser for video signals. We present two techniques for automatic classification. In the first technique, the incoming video sequence is analyzed to extract the motion information. This information is optimally projected onto a single dimension. This projection information is then used to train Hidden Markov Models (HMMs) that efficiently and accurately classify the incoming video sequence. Preliminary results with 50 different test sequences (25 Sports and 25 News sequences) indicate a classification accuracy of 90% by the HMM models. In the second technique, 24 full length motion picture trailers are classified using HMMs. This classification is compared with the internet movie database and we find that they correlate well. Only two out of 24 trailers were classified incorrectly.

关键词： Hidden Markov Models video characterization and classification video indexing automatic content screening density estimation learning

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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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7th storage and retrieval for image and video databases conference

作者： Chen, KS Demko, S Xie, RF Iterated Syst Inc Piedmont Ctr 7 Atlanta GA 30305 USA

ISBN: (纸本)0819431273

The color histogram of an image has been widely used as a feature descriptor for the image in content-based retrieval applications. In this paper, some results from our investigation efforts into the usage are reported. We outline three typical color space quantization schemes used in our experiments and introduce the soft-decision histogramming method to eliminate the discontinuity problem in traditional color histogram population process. Then, to improve the effectiveness of color histogram based retrieval algorithms, several similarity metrics are proposed for comparing color histograms, including three special forms of the Kantorovich metric.

关键词： image database content-based image retrieval image descriptor perceptual similarity color histogramming distance metric

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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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Automatic and semiautomatic methods for image annotation and retrieval in query by image content (QBIC)

Automatic and semiautomatic methods for image annotation and...

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storage and retrieval for image and video databases iii

作者： Ashley, Jon Barber, Ron Flickner, Myron D. Hafner, James L. Lee, Dennis Niblack, Wayne Petkovic, Dragutin IBM Almaden Research Cent. San Jose CA USA United States

ISBN: (纸本)081941767X

Advances in technologies for scanning, networking, and CD-ROM, lower prices for large disk storage, and acceptance of common image compression and file formats have contributed to an increase in the number, size, and uses of on-line image collections. New tools are needed to help users create, manage, and retrieve images from these collections. We are developing QBIC (query by image content), a prototype system that allows a user to create and query image databases in which the image content - the colors, textures, shapes, and layout of images and the objects they contain - is used as the basis of queries. This paper describes two sets of algorithms in QBIC. The first are methods that allow `query by color drawing,' a form of query in which a user draws an approximate color version of an image, and similar images are retrieved. These are automatic algorithms in the sense that no user action is necessary during database population. Secondly, we describe algorithms for semi-automatic identification of image objects during database population, improving the speed and usability of this manually-intensive step. Once outlined, detailed queries on the content-properties of these individual objects can be made at query time.

关键词： image processing

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Gesture for video content navigation

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 230-242页

作者： Bradski, Gary Yeo, Boon-Lock Yeung, Minerva M. Intel Corp Santa Clara United States

This article describes the use of gesture recognition techniques in computer vision as a natural interface for video content navigation, and the design of a navigation and browsing system that caters to these natural means of computer-human interaction. For consumer applications, video content navigation presents two challenges: (1) how to parse and summarize multiple video streams in an intuitive and efficient manner, and (2) what type of interface will enhance the ease of use for video browsing and navigation in a living room setting or an interactive environment. In this paper, we address the issues and propose the techniques that combine video content navigation with gestures, seamlessly and intuitively, in an integrated system. The current framework can incorporate speech recognition technology. We present a new type of browser for browsing and navigating video content, as well as a gesture recognition interface for this browser.

关键词： Pattern recognition

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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

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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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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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