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

共 475 条记录，以下是341-350 订阅

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Wide-area distributed disaster-tolerant file system for multimedia data storage

Wide-area distributed disaster-tolerant file system for mult...

引用

storage and retrieval for image and video databases VI Conference

作者： Murata, S Iwatsu, S Ueno, M Izawa, N Ishii, K NTT Integrated Informat & Energy Syst Labs Tokyo 180 Japan

ISBN: (纸本)0819427527

We propose a new disaster-tolerant file system for multimedia data storage. To protect against natural disasters by eliminating the possibility of simultaneous failure in multiple disks constituting a RAID (Redundant Array of Inexpensive Disks) system, our proposed file system features a RAID system with member disks spatially distributed over a wide area. The Fibre Channel standard has the potential to create an up to 10-km separation of member disks by using single-mode optical fiber cables. The prototype system of wide-area distributed file (WDF) consisting of a layered structure of RAID level 1 and RAID level 0 was tested. It has its entire data in a local disk and its mirroring data striped into two Fibre-Channel-connected disks by using optical fiber cables. The Effect of underlying software modules and hardware components on its read/write performance was investigated. Compared with a file system using a local disk, the prototype WDF system shows equivalent read performance by directing all reads to its local disk and its write performance is almost 20% lower. An on-line transaction processing (OLTP) benchmark was also executed. The WDF system achieved a throughput (transactions per second) similar to that of the file system using a local disk.

关键词： file system disaster-tolerant RAID disk array Fibre Channel wide-area distribution data storage OLTP

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A successively refinable wavelet-based representation for content-based image retrieval 1

A successively refinable wavelet-based representation for co...

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IEEE 1st Workshop on Multimedia Signal Processing

作者： Servetto, S Ramchandran, K Huang, TS Coordinated Science Lab Beckman Institute University of Illinois Urbana-Champaign United States

ISBN: (纸本)0780337808

Content based retrieval of image and video data from databases is a very challenging problem, whose interest is derived from the need of future databases to support efficient access to vast amounts of visual information. Typical queries to be performed in this context check attributes of objects present in image data, such as shape, color, relative locations, etc. Therefore, the way in which image data is represented plays a fundamental role in the efficient implementation of those queries. One possibility is to take the naive approach of storing images using standard compression techniques, storing image features (such as object shape descriptors, color histograms, etc.) as explicit side information, and whenever an image is involved in the evaluation of a query decoding it to full resolution;however, much more efficient techniques (in terms of storage and computational requirements) are possible. In this paper, we propose a new image coding technique which combines a wavelet image representation, embedded coding of the wavelet coefficients, and segmentation of semantically meaningful objects in the wavelet domain, to generate a bitstream in which each object is encoded independently of every other object in the image, and without explicitly storing shape boundary information. Furthermore, since the representation of each object is fully embedded applications may, independently for each object, specify the desired target bitrate and retrieve bits from the compressed bitstream. Preliminary results show that our new proposed method achieves PSNR numbers within 0.3dB of those achieved using the same coder without including segmentation information (which is one of the best within its class), thus showing that no severe performance loss results from enabling independent access to objects in the compressed domain.

关键词： image coding

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Using feature selection to aid an iconic search through an image database

Using feature selection to aid an iconic search through an i...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： K. Messer J. Kittler University of Surrey Guildford Surrey UK

In this paper a method that facilitates an iconic query of an image/video database is presented. A query object is characterised by colour and texture properties. The same characteristics are computed locally for the database images. A statistical decision rule is then used to test for similarity between the iconically specified query and the database image descriptors. We show that by carefully selecting the set of descriptors the false alarm rate can be significantly reduced. The floating search feature selection method has been adapted to make it applicable to the hypothesis testing based query processing. The dimensionality reduction not only improves the performance but also enhances the computational efficiency of the method.

关键词： image databases Spatial databases Shape Testing Indexing Information retrieval image storage Humans image retrieval World Wide Web

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Multimedia support for databases

Multimedia support for databases

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IEEE Symposium on Computers and Communications (ISCC)

作者： B. Ozden R. Rastogi A. Silberschatz Bell Laboratories Lucent Technologies Inc. Murray Hill NJ USA

The following are two possible approaches to providing database functionality for multimedia data: a) the multimedia data as well as the metadata for it is stored together in a single database system, and b) the multimedia data is stored in a separate file system while the corresponding metadata for it is stored in a database system. Both approaches have their advantages and disadvantages. The first approach implies that databases need to be redesigned to support multimedia data along with conventional data. Since this requires modifications to existing databases, businesses may not be convinced to replace their databases with a new one to accommodate multimedia. Furthermore, this integrated approach might be a burden for users who do not need full-fledged multimedia support. The second approach allows businesses to capitalize on their existing base and purchase a multimedia storage system and the necessary glue to integrate their databases with the multimedia storage system. This approach, however, may complicate the implementation of some of the database functionality such as data consistency. The authors provide an overview of a) the issues for supporting content-based queries and a brief survey of research done in this arena, and b) the issues related to the storage and retrieval of continuous media data.

关键词： Multimedia databases Multimedia systems File systems image databases video compression Transform coding Compression algorithms Timing image storage Resource management

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storage and retrieval for image and video databases II

Storage and Retrieval for Image and Video Databases II

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storage and retrieval for image and video databases II 1994

The proceedings contain 22 papers. The topics discussed include: retrieving images by 2D shape: a comparison of computation methods with human perceptual judgments;bounds for the discrimination power of color indexing techniques;photobook: tools for content-based manipulation of image databases;efficient content-based retrieval in image databases: a probabilistic approach;comparison of subband features for automatic indexing of scientific image databases;and development of object-oriented multimedia database and its application to retrieval of maintenance parts.

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storage and retrieval for image and video databases

Storage and Retrieval for Image and Video Databases

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storage and retrieval for image and video databases

ISBN: (纸本)0819411418

The Proceedings materials contain 22 papers. The topics covered include large video databases, visual query languages, visual information retrieval systems, multimedia switching architecture, multi-disk environment, parallel image storage/retrieval, mass-storage management, distributed image/video archives, content-based retrieval, knowledge-guided parsing, image processing, video indexing, autosophy video databases, satellite imagery, and similarity retrieval.

关键词： Information retrieval systems

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Multifeature image and video content-based storage and retrieval

Multifeature image and video content-based storage and retri...

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Conference on Multimedia storage and Archiving Systems

作者： Ardizzone, E LaCascia, M Univ. of Palermo (Italy)

ISBN: (纸本)0819423181

In this paper we present most recent evolution of JACOB, a system we developed for image and video content-based storage and retrieval. The system is based on two separate archives: a ''Features DB'' and a ''Raw-data DB''. When a user puts a query, a search is done in the ''Features DB'';the selected items are taken from the ''Raw-data DB'' and shown to the user. Two kinds of sessions are allowed: ''database population'' and ''database querying''. During a ''database population'' session the user inserts new data into the archive. The input data can consist of digital images or videos. videos are split into shots and for each shot one or more representative frames (r-frames) are automatically extracted. Shots and r-frames are then characterized, either in automatic or semi-automatic way, and stored in the archives. Automatic features' extraction consists of computing some low-level global features. Semi-automatic features' extraction is done by using annotation tools that perform operations that aren't currently possible with fully automatic methods. To this aim semi-automatic motion based segmentation and labeling tools have been developed. During a ''database querying'' session, queries direct or by example are allowed. Queries (direct or by example) may be iterated and variously combined to satisfy the query in the smallest number of steps. Multifeature querying is based on statistical analysis of the feature space.

关键词： databases video Feature extraction image segmentation Motion models image retrieval Zoom lenses Optical flow Computing systems image storage

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retrieval by content in symbolic-image databases

Retrieval by content in symbolic-image databases

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Conference on storage and retrieval for Still image and video databases IV

作者： Soffer, A Samet, H UNIV MARYLAND DEPT COMP SCI & ELECT ENGNBALTIMOREMD 21228

ISBN: (纸本)0819420441

Two approaches for integrating images into the framework of a database management system are presented. The classification approach preprocesses all images and attaches a semantic classification and an associated certainty factor to each object found in the image. The abstraction approach describes each object in the image by using a vector consisting of the values of some of its features (e.g., shape, genus, etc.). The approaches differ in the way in which responses to queries that are based on image content are computed. In the classification approach, images are retrieved on the basis of whether or not they contain objects that have the same classification as query objects. In the abstraction approach, retrieval is on the basis of similarity of feature vector values of these objects. Both the pattern recognition and indexing aspects of the method are addressed for each approach. The emphasis is on extracting both contextual and spatial information from the raw images. Methods for storing and indexing symbolic images as tuples in a relation are presented for each approach. Indices are constructed for both the contextual and the spatial data. The user interface for a pictorial information system based on these two approaches is also presented.

关键词： image databases retrieval by content spatial databases image indexing query optimization

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Implementation of video presentation in database systems

Implementation of video presentation in database systems

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Conference on storage and retrieval for Still image and video databases IV

作者： Zhang, AD Multani, S SUNY BUFFALO DEPT COMP SCIBUFFALONY 14260

ISBN: (纸本)0819420441

In order to flexibly and efficiently store, manage, and present video data streams, continuous video data must be chopped into video objects and stored into database. This paper investigates systematic strategies for supporting continuous and synchronized presentation of video data streams in multimedia database systems. Compressed video data streams are segmented and stored as sets of video objects coupled with specified synchronization requirements. Strategies for efficiently scheduling and buffering video objects are presented which guarantee the hiccup-free presentations of video streams. Delay effects are considered in these strategies. We propose to extend the existing object-oriented database system (OODBS) techniques to include the proposed video presentation mechanisms. We are currently designing and implementing a multimedia presentation tool (termed MediaShow) on top of O₂, a well-known OODBS, as a basis for our implementation. However, the design strategies can be generally used in any OODBS environments that support C++ interface.

关键词： multimedia databases video presentation

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System architecture for middle-scale video-on-demand services

System architecture for middle-scale video-on-demand service...

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Conference on storage and retrieval for Still image and video databases IV

作者： Kimiyama, H Nishimura, K Matsuda, C Nakano, H NIPPON TELEGRAPH & TEL PUBL CORP HUMAN INTERFACE LABS MUSASHINO TOKYO 180 JAPAN

ISBN: (纸本)0819420441

An experimental video server for middle-scale video-on-demand services that uses a 'redundant double-layered disk array' can read out 100 MPEG-1 1.5-Mbps video streams simultaneously with a response time of under one second through an FDDI-LAN. An exclusive data method that switches between normal data and fast data and a skip-search method are used to provide fast visual search. The gateway connecting the video server LAN to a 6.312-Mbps constant bit-rate line allows broadcast services to be integrated with on- demand services. The protocol implemented in this gateway controls the visual search rate, corrects errors in downloaded data, and accelerates the playback mode changes.

关键词： video-on-demand multiple readout visual search gateway

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