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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271-280 订阅

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MALCBR: Content-based retrieval of image databases at multiple abstraction levels

MALCBR: Content-based retrieval of image databases at multip...

引用

conference on Multimedia storage and Archiving Systems II

作者： Castelli, V Li, CS Bergman, LD IBM Thomas J. Watson Research Ctr. (United States)

ISBN: (纸本)0819426628

Content-based search of large image database has received significant attention recently. In this paper, we proposed a new framework, Multiple. Abstraction Level Content Based retrieval (MALCBR), for specifying and process content-based retrieval queries on databases of images, time series, or video data. This framework allows search targets to be expressed in a object-based fashion, that allows the extensible specification of arbitrarily complex queries. In our approach, the search targets are either simple objects, specified at multiple levels of abstraction (pixel, feature and semantic levels), or composite objects, defined as collections of relation on the elements of a set of simple objects. During the search, simple objects at the semantic level are retrieved from database tables, feature level objects are computed using pre-extracted features;appropriately indexed, and pixel level objects are extracted from the raw data. Composite objects are computed at query execution time. This framework provides a powerful mechanism for specifying complicated search target and enable efficient processing of filtering of the search results.

关键词： content-based retrieval image library clustering classification neural networks feature vector template matching

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Fast encryption of image data using chaotic Kolmogorov flows 5

Fast encryption of image data using chaotic Kolmogorov flows

引用

conference on storage and retrieval for image and video databases V

作者： Scharinger, J Johannes Kepler Univ. Linz (Austria)

ISBN: (纸本)0819424331

To guarantee security and privacy A image transmission and archival applications, adequate efficient bulk encryption techniques are necessary which are able to cope with the vast amounts of image data involved. Experience has shown that block-oriented symmetric product ciphers constitute an adequate design paradigm for resolving this task, since they can offer a very high level of security as well as very high encryption rates. In this contribution we introduce a new product cipher which encrypts large blocks of plain-text (images) by repeated intertwined application of substitution and permutation operations. While almost all of the current product ciphers use fixed (predefined) permutation operations on small data blocks, our approach involves parameterizable (keyed) permutations on large data blocks (whole images) induced by specific chaotic systems (Kolmogorov flows). By combining these highly unstable dynamics with an adaption of a very fast shift register based pseudo-random number generator we obtain a new class of computationally secure product ciphers which are firmly grounded on systems theoretic concepts, offering many features that make them superior to contemporary bulk encryption systems when aiming at efficient image data encryption.

关键词： image encryption product ciphers chaotic systems Kolmogorov hows pseudo-random number generation shift registers

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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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Audio as a support to scene change detection and characterization of video sequences

Audio as a support to scene change detection and characteriz...

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1997 IEEE International conference on Acoustics, Speech, and Signal Processing (ICASSP 97)

作者： Saraceno, C Leonardi, R Univ of Brescia Brescia Italy

ISBN: (纸本)0818679204

A challenging problem to construct video databases is the organization of video information. The development of algorithms able to organize video information according to semantic content of the data is getting more and more important. This will allow algorithms such as indexing and retrieval to work more efficiently. Until now, an attempt to extract semantic information has been performed using only video information. As a video sequence is constructed from a 2-D projection of a 3-D scene, video processing has shown its limitations especially in solving problems such as object identification or object tracking, reducing the ability to extract semantic characteristics. A possibility to overcome the problem is to use additional information. The associated audio signal is then the most natural way to obtain this information. This paper will present a technique which combines video and audio information together for classification and indexing purposes. The classification will be performed on the audio signal;a general framework that uses the results of such classification will then be proposed for organizing video information.

关键词： image segmentation

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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...

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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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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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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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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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videobook: an experiment in characterization of video

Videobook: an experiment in characterization of video

引用

Proceedings 1996 International conference on image Processing, ICIP'96

作者： Iyengar, Giridharan Lippman, Andrew B. MIT Media Lab Cambridge MA United States

In this paper we present a framework for content based query and retrieval of information from large video databases. This framework enables content based retrieval of video sequences by characterizing the sequences using motion, texture and colorimetry cues. This characterization is biologically inspired and results in a compact parameter space where every segment of video is represented by an 8 dimensional vector. Searching and retrieval is done in real-time with high accuracy in this parameter space. The present version of the videoBook has 165 video sequences, each 15 seconds long at 30 frames a second representing storage of 65 Giga Bytes. The videoBook is able to search and retrieve video sequences with 92% accuracy in real-time. Experiments thus demonstrate that the characterization is capable of extracting higher level structure from raw pixel values.

关键词： image processing

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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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