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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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MODELING COMPLEX OBJECTS IN CONTENT-BASED image retrieval

MODELING COMPLEX OBJECTS IN CONTENT-BASED IMAGE RETRIEVAL

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conference on storage and retrieval for image and video databases iiI

作者： LAHLOU, Y CTR RECH INFORMAT NANCY F-54506 VANDOEUVRE NANCYFRANCE

ISBN: (纸本)081941767X

This paper describes the extended model for information retrieval (EMIR) designed for complex information description and retrieval and particularly well suited for image modeling. A main object in the proposed model has a three parts specification: a description that is a list of attributes;a composition that is a list of component objects;and a topology that is a list of semantic relationships between component objects, expressing more semantic aspects of the main object structure. The model is well suited for image modeling for two complementary reasons. On one hand, it can distinguish between an object structure and its contents. This is achieved by relaxing the class-object classical instantiation link;thus allowing objects to have individual non categorized contents rather than those predicted in their classes. On the other hand, images have typically very different individual contents, and, therefore, cannot be easily modeled within a structured database model such as the relational model. The query language is organized according to the three-part organization of the model. A simple query has three parts: description, being some constraints on some attributes values;composition, being a set of sub-queries on the composition part of objects;topology, being the specification of special required links on the results of composition sub-queries.

关键词： Information retrieval systems

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A novel technique for automatic key frame computing 5

A novel technique for automatic key frame computing

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conference on storage and retrieval for image and video databases V

作者： Xiong, W Ma, RH Lee, JCM Department of Computer Science Hong Kong University of Science and Technology Hong Kong

ISBN: (纸本)0819424331

In general, video shots need to be clustered to form more semantically significant units, such as scenes, sequences, programs, etc. This is the so-called story-based video structuring. Automatic video structuring is of great importance for video browsing and retrieval. The shots or scenes are usually described by one or several representative frames, called key frames. Viewed from a higher level, key frames of some shots might be redundant in terms of semantics. In this paper, we propose automatic solutions to the problems of key frame computing and key frame pruning. We develop an original image similarity criterion, which considers both spatial layout and detail content in an image. Coefficients of wavelet decomposition are used to derive parameter vectors accounting for the above two aspects. The parameters exhibit (quasi-) invariant properties. The novel ''Seek and Spread (SS)'' strategy used in key frame computing allows us to obtain a Targe representative range for the key frames. Inter-shot redundancy of the key frames is suppressed using the same image similarity measure. Experimental results demonstrate the effectiveness and efficiency of our techniques.

关键词： video data structuring automatic key frame computing image similarity measure wavelet transform invariant parameters key frame fusion

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Content based image and video retrieval using embedded text

Content based image and video retrieval using embedded text

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7th Asian conference on Computer Vision

作者： Misra, C Sural, S Indian Inst Technol Sch Informat Technol Kharagpur 721302 W Bengal India

ISBN: (纸本)3540312447

Extraction of text, from image and video is an important step in building efficient indexing and retrieval systems for multimedia databases. We adopt a hybrid approach for such text extraction by exploiting a number of characteristics of text blocks in color images and video frames. Our system detects both caption text as well as scene text of different font, size, color and intensity. We have developed an application for on-line extraction and recognition of texts from videos. Such texts are used for retrieval of video clips based on any given keyword. The application is available on the web for the readers to repeat our experiments and also to try text extraction and retrieval from their own videos.

关键词： image retrieval

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video content characterization and compaction for digital library applications 5

Video content characterization and compaction for digital li...

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conference on storage and retrieval for image and video databases V

作者： Yeung, MM Yeo, BL IBM Thomas J. Watson Research Ctr. (United States)

ISBN: (纸本)0819424331

In digital libraries and the Internet, large amount of data in various modalities has to be transmitted and delivered across the networks, and is subject to bandwidth constraints and network congestion. Among all multimedia data, video is the most difficult to handle, both in terms of its size and the scarcity of tools and techniques available for efficient delivery, storage and retrieval. Providing tools to help users search and browse large collections of video documents is important. Equally important are the means to deliver and present the essence of video content to the user without noticeable delay. In this paper, we focus on the characterization of video by means of automatic analysis of its visual content and the compact presentation of the underlying story content built upon the derived characteristics. We develop models to capture and characterize video by temporal events, namely, dialogues, actions and story units. We then present these events using succinct visual summaries that depict and differentiate the underlying dramatic elements in an intuitive manner. The combination of video characterization and visual summary offers significant compaction of data size in video far beyond the numbers achieved by traditional video compression, while retaining essential meanings and semantics of the content, and is particularly useful for digital library and Internet applications.

关键词： content analysis video characterization and compaction segmentation of video digital library video database video browsing and transmission

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image retrieval system based on interactive reduction of feature space

Image retrieval system based on interactive reduction of fea...

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7th storage and retrieval for image and video databases conference

作者： Kobayashi, A Yoshida, T Sakai, Y Tokyo Inst Technol Fac Engn Tokyo 1528552 Japan

ISBN: (纸本)0819431273

This paper proposes an image retrieval system which searches a database for images similar to a target, imagined by a user. The system uses image features, rather than keywords, and retrieves images by reducing a multidimensional feature space generated by the image feature vectors. First, the system presents the user some sample images with a suitable feature vector value and requires the user's interaction to obtain information on which image is similar to the target he/she has in his/her mind. Then, the information is used to appropriately reduce the feature space. This process is continued until the target region is reduced to a suitable volume. Since this method requires neither real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.

关键词： image database image retrieval feature space interactive retrieval

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Texture content based retrieval using text descriptions

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 75-85页

作者： Kuan, J.K.P. Joyce, D.W. Lewis, P.H. ADC Metrica Richmond United Kingdom

We developed a content based retrieval scheme for texture by using text based description. The texture technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other methods that apply complicated statistics can be difficult to transcribe into understandable forms for normal users. Unlike these other methods, with the simplicity of our features, we can express them in terms of simple language. Hence we can bridge the gap between semantics and computed features. A number of benefits can be achieved which opens a new horizon for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the parts that they are interested in. This allows them to gradually refine their texture descriptions.

关键词： Information retrieval

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Multi-linearization data structure for image browsing

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 155-166页

作者： Craver, Scott Yeo, Boon-Lock Yeung, Minerva Princeton Univ Princeton United States

image search has been actively studied in recent years. On the other hands, image browsing has received little attention. image browsing refers to the process of presenting some forms of overview or summary of the image relationships, thus facilitating a user to navigate across the data set and find images of interests. In this paper, we present a new data structure built on the multi-linearization of image attributes for efficient organization of the data set and fast visual browsing of the images. We describe new techniques for multi-linearization based on multiple space-filling curves and hierarchical clustering techniques. In addition to providing fast navigation, our proposed data structure allows computationally efficient insertion and deletion of images from the data set. We then present a novel image navigator and browser built on dual-linearization data structure and intuitive presentation of image relevance and relationships, demonstrate the image navigation process, and report results on 1000 and 22,000 image databases. We also discuss how our data structure can be extended to support fast image search.

关键词： image analysis

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Eigendecomposition-based analysis of video images

Eigendecomposition-based analysis of video images

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7th storage and retrieval for image and video databases conference

作者： Chang, CY Maciejewski, AA Balakrishnan, V Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

ISBN: (纸本)0819431273

We present a fast algorithm for computing the singular value decomposition (SVD) of a matrix consisting of the frames from a video sequence. The computational efficiency of this algorithm derives from the observation that portions of a video sequence will consist of sets of correlated frames. We then show that the information obtained from the SVD can be used to analyze video sequences to obtain information such as scene breaks, scene query, reduced-order shot representation and key frame determination. We illustrate this approach on several video sequences.

关键词： eigenimages eigendecomposition singular value decomposition (SVD) video analysis

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The SS+-tree: An improved index structure for similarity searches in a high-dimensional feature space 5

The SS+-tree: An improved index structure for similarity sea...

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conference on storage and retrieval for image and video databases V

作者： Kurniamati, R Jin, JS Shepherd, JA School of Computer Science and Engineering University of New South Wales Sydney 2052 Australia

ISBN: (纸本)0819424331

In this paper, we describe the SS+-tree, a tree structure for supporting similarity searches in a high-dimensional Euclidean space. Compared to the SS-tree, the tree uses a tighter bounding sphere for each node which is an approximation to the smallest enclosing sphere and it also makes a better use of the clustering property of the available data by using a variant of the k-means clustering algorithm as the split heuristic for its nodes. A local reorganization rule is also introduced during the tree building to reduce the overlapping between the nodes' bounding spheres.

关键词： high-dimensional indexing and retrieval similarity search multimedia databases enclosing spheres enclosing boxes (MBR)

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