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

共 344 条记录，以下是181-190 订阅

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Hierarchical clustering algorithm for fast image retrieval

Hierarchical clustering algorithm for fast image retrieval

引用

7th storage and retrieval for image and video databases conference

作者： Krishnamachari, S Abdel-Mottaleb, M Philips Res Labs Briarcliff Manor NY 10510 USA

ISBN: (纸本)0819431273

image retrieval systems that compare the query image exhaustively with each individual image in the database are not scalable to large databases. A scalable search system should ensure that the search time does not increase linearly with the number of images in the database. We present a clustering based indexing technique, where the images in the database are grouped into clusters of images with similar color content using a hierarchical clustering algorithm. At search time the query image is not compared with all the images in the database, but only with a small subset. Experiments show that this clustering based approach offers a superior response time with a high retrieval accuracy. Experiments with different database sizes indicate that for a given retrieval accuracy the search time does not increase linearly with the database size.

关键词： image retrieval color histogram scalable clustering hierarchical

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Hierarchical clustering techniques for image database organization and summarization

Hierarchical clustering techniques for image database organi...

引用

conference on Multimedia storage and Archiving Systems iii

作者： Vellaikal, A Kuo, CCJ Hughes Res Labs Informat Sci Lab Malibu CA 90265 USA

ISBN: (纸本)0819429880

This paper investigates clustering techniques as a method of organizing image databases to support popular visual management functions such as searching, browsing and navigation. Different types of hierarchical agglomerative clustering techniques are studied as a method of organizing features spaces as well as summarizing image groups by the selection of a few appropriate representatives. retrieval performance using both single and multiple level hierarchies are experimented with and the algorithms show an interesting relationship between the top k correct retrievals and the number of comparisons required. Some arguments are given to support the use of such cluster-based techniques for managing distributed image databases.

关键词： clustering content-based retrieval image databases feature space organization visual data browsing

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Augmented image histogram for image and video similarity search

Augmented image histogram for image and video similarity sea...

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7th storage and retrieval for image and video databases conference

作者： Chen, Y Wong, EK Polytech Univ Dept Informat & Comp Sci Brooklyn NY 11201 USA

ISBN: (纸本)0819431273

image histogram is an image feature widely used in content-based image retrieval and video segmentation. It is simple to compute yet very effective as a feature in detecting image-to-image similarity, or frame-to-frame dissimilarity. While the image histogram captures the global distribution of different intensities or colors well, it does not contain any information about the spatial distribution of pixels. In this paper, we propose to incorporate spatial information into the image histogram by computing features from the spatial distance between pixels belonging to the same intensity or color. In addition to the frequency count of the intensity or color, the mean, variance, and entropy of the distances are computed to form an Augmented image Histogram. Using the new feature, we preformed experiments on a set of color images and a color video sequence. Experimental results demonstrate that the Augmented image Histogram performs significantly better than the conventional color histogram, both in image retrieval and video shot segmentation.

关键词： content-based image retrieval video shot segmentation augmented image histogram similarity search spatial information

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Using browsing to improve content-based image retrieval

Using browsing to improve content-based image retrieval

引用

conference on Multimedia storage and Archiving Systems iii

作者： Jin, JS Kurniawati, R Xu, GY Bai, XS Univ New S Wales Sydney NSW 2052 Australia

ISBN: (纸本)0819429880

Many content-based methods have been proposed to retrieve images from multimedia databases. Current index structures, such as R*-tree, SS-tree and SS+-tree, have a large overlapping area among their nodes, especially at the high level of the indexing tree. The overlapping area causes the search engine to compare a large number of nodes and hence, it is very inefficient to retrieve at very high levels of the index tree. We present a scheme to combine browsing with retrieval in searching for images. The browser uses the content-based index structure of image databases. It provides users with a visual tool to narrow the search quickly to a small region and to avoid a large number of comparisons. Combined with retrieval, it produces a very efficient content-based retrieval method.

关键词： content-based image retrieval indexing browsing multimedia database

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Indexing and retrieval of multimedia objects at different levels of granularity

Indexing and retrieval of multimedia objects at different le...

引用

conference on Multimedia storage and Archiving Systems iii

作者： Faudemay, P Durand, G Seyrat, C Tondre, N Univ Paris 06 LIP6 F-75255 Paris 05 France

ISBN: (纸本)0819429880

Intelligent access to multimedia databases for "naive user" should probably be based on queries formulation by "intelligent agents". These agents should "understand" the semantics of the contents, learn user preferences and deliver to the user a subset of the source contents, while keeping the freedom of choice of the user. Such systems should interpret multimedia contents in terms of multiple audiovisual objects (from video to visual or audio object), and on actions and scenarios. In our project we have developed a method for image segmentation into semantic objects, even in the case of still images. We use this method, and user-defined collections of such objects, and to characterize stories contents. For this purpose, we also use audio information from selected parts of the video. Stories are characterized by a set of visual concepts and words, and semantic similarity between stories is evaluated based on information retrieval methods. The system learns user preferences, and incrementally builds a user profile, which is used to present relevant stories in appropriate order. This approach was used to build a mockup of a simple "plus" engine, which is presently being experimented.

关键词： multimedia indexing video analysis spatial segmentation temporal segmentation example-based retrieval

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Rotation, translation, and scaling invariant color image indexing

Rotation, translation, and scaling invariant color image ind...

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7th storage and retrieval for image and video databases conference

作者： Celenk, M Shao, Y Ohio Univ Sch Elect Engn & Comp Sci Athens OH 45701 USA

ISBN: (纸本)0819431273

This paper describes a rotation, translation, and scaling (RTS) invariant color image indexing technique for imaging database systems. The features used for image indexing are color based, which are extracted using the principal component analysis, Hotelling transform, and moment invariants. This synthesized feature extraction technique is devised to be computationally efficient for on-line fast image storage and retrieval using color information Since the database indexing relies on a the use of average (mean) color vector and seven moment invariants of an image, the index storage requirement of the method is only a ten-dimensional (10-D) vector. This index storage efficiency is very desirable for many imaging database applications. A new similarity measure is also proposed based on the Tanimoto measure of recognizing similar patterns for fast image retrieval in large database systems. The underlying similarity measure is computationally effective since the vector inner product is the only operation needed for its computation. Four databases are experimented in the computer simulation of the algorithm to demonstrate the RTS property of the image retrieval. It is determined experimentally that the proposed method is not affected by substantial changes in the database images due to rotation, translation, and scaling. This is attributed to the fact that the moment features used for retrieval are not predefined sets;rather, they are obtained directly from the images submitted for recording or searching. This makes the algorithm very robust and attractive for many applications of the image storage and retrieval systems.

关键词： color image storage and retrieval principal components Hotelling transform moment invariants Tanimoto measure

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引用

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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Querying multiple perspective video

Querying multiple perspective video

引用

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

引用

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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Interfaces for emergent semantics in multimedia databases

Interfaces for emergent semantics in multimedia databases

引用

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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