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Scalable tape archiver for satellite image database and its performance analysis with access logs. Hot declustering and hot replication

Scalable tape archiver for satellite image database and its ...

引用

IEEE Symposium on Mass storage Systems

作者： T. Nemoto M. Kitsuregawa Institute of Industrial Science University of Tokyo Japan

Recently, global environmental studies have become very important around the world. Repeated observations of wide areas of the earth at the same time makes satellite images useful. For understanding Earth's environment it is necessary to use a substantial amount of the temporally sequenced satellite images. At the Institute of Industrial Science, University of Tokyo, we have been building a global environmental digital library whose main contents are earth surface images from NOAA environmental satellite images and GMS images received at our institute. In this paper, we describe our satellite image archive system. We focus on a scalable tape archiver (STA), which is a key component of our archive system. We explain two orthogonal file/cassette replacement strategies, declustering and replicating, adopted for the STA and show their effectiveness. After their basic performance is shown, we describe a performance analysis using access traces taken at our archive system. the proposed schemes named hot declustering and hot replication, work effectively in our STA in daily operations.

关键词： Satellites image databases Performance analysis Earth Software libraries Sea surface image storage Costs Tail Environmental factors

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image content retrieval from image databases using feature integration by Choquet integral

Image content retrieval from image databases using feature i...

引用

7th storage and retrieval for image and video databases conference

作者： Popescu, M Gader, P Univ Missouri Med Informat Grp Columbia MO 65201 USA

ISBN: (纸本)0819431273

A novel similarity measure based on the Choquet integral was introduced for retrieving images from a image database that "mostly" fit the query image. We showed that in certain conditions the measure is a norm, a fact that can be used to reduce the searching time using the triangle inequality. To test the new measure, a content based image retrieval system was built. the system was benchmarked against the visual retrieval cartridge, Virage, built into Oracle 8 database system. the results suggested that the new measure is useful for image retrieval.

关键词： image database Choquet integral similarity measure OWA Oracle 8

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VORTEX: video retrieval and tracking from compressed multimedia databases - affine transformation and occlusion invariant tracking from MPEG-2 video

VORTEX: video retrieval and tracking from compressed multime...

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7th storage and retrieval for image and video databases conference

作者： Schonfeld, D Lelescu, D Univ Illinois Dept EECS Signal & Image Res Lab Chicago IL 60680 USA

ISBN: (纸本)0819431273

In this paper, we present topics related to tracking of video objects in compressed video databases in the context of video retrieval applications. We developed a video retrieval and tracking system (VORTEX) to enable operation directly on compressed video data. the structure of the video compression standards is exploited in order to avoid the costly decompression operation. this is achieved by utilizing motion compensation-a critical prediction filter embedded in video compression standards-to estimate and interpolate the desired method for template matching. Occlusion analysis, filtering and motion analysis are used to implement fast tracking of objects of interest on the compressed video data. Being presented with a query in the form of template images of objects, the system operates on the compressed video in order to find the images or video sequences where those objects are present and their positions in the image. this enables the retrieval and display of the query-relevant sequences.

关键词： video retrieval compressed multimedia databases compressed domain processing motion analysis occlusion MPEG

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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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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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Augmented image histogram for image and video similarity search

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

引用

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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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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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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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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