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Multimedia support for databases

Multimedia support for databases

引用

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 Still image and video databases IV

Storage and Retrieval for Still Image and Video Databases IV

引用

storage and retrieval for Still image and video databases IV

ISBN: (纸本)0819420441

The proceedings contains 41 papers. The papers are grouped under following session headings: image retrieval;indexing structure;invited papers;representation and modeling;video database;user issues;architecture;and poster session. Some of the specific topics discussed are: color indexing with weak spatial constraints;similarity indexing - algorithms and performance;virtual digital library;indexing of compressed video sequences;image retrieval based on color;and audio characterization for video indexing.

关键词： Information retrieval systems

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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

引用

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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Experimental video database management system based on advanced object-oriented techniques

Experimental video database management system based on advan...

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storage and retrieval for Still image and video databases IV

作者： Huang, Liusheng Lee, John C. Li, Qing Xiong, Wei Hong Kong Univ. of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)0819420441

video data management is fast becoming one of the most important topics in multimedia databases. Most of the recent work on video databases has so far focused on video classification, feature extraction, spatial reasoning and image retrieval (video access);little work has been done on supporting advanced video editing and production activities, nor has there been much work done on providing facilities for efficient and versatile video data management. In this paper, we describe the development of an experimental video database system being implemented at HKUST, which employs extended object-oriented features and techniques. By incorporating conceptual object clustering concepts and techniques, it enables users to dynamically form, among other things, video programs (or segments) from existing objects based on semantic features/index terms. A prototype of this system has been constructed, using a persistent object storage manager (viz. EOS), on Sun4 workstations.

关键词： Database systems

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Visual data indexing and retrieval using color feature

Visual data indexing and retrieval using color feature

引用

作者： Shi, Yongxia State University of New York at Buffalo

学位级别：Ph.D.

Recent advances in visual data storage and retrieval technologies have made the creation of very large databases feasible. Color indexing is one of the crucial issues in the management of color image and video databases. In this dissertation we investigate an approach based on the color feature extraction and indexing of images for the purpose of content-based color image and video database retrieval. Since the high computational complexity has been one of the main barriers towards the use of similarity measures, such as histogram intersection distance, in very large database, we present a hierarchical automatic color indexing scheme and used to subset images before more sophisticated techniques are applied for precise retrieval. The use of automatically indexed color contents of images as filtering and matching features in a hierarchical scheme is studied with full algorithm implementation procedure described in detail. In the meantime, we developed a set of programs to extract the color features from which the color vector complex of images is derived for accomplishing both color image database indexing and video sequence parsing. The discrimination between different image scenes based on color vector difference measurement is also studied. The experimental results demonstrate that our approach is the state-of-art of work with high efficiency and low computation complexity. Through applying it to visual data we can expect getting not only a way of color image discrimination but also a way of color video sequence segmentation or shot boundary detection based on color features.

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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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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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Tools and techniques for color image retrieval

Tools and techniques for color image retrieval

引用

storage and retrieval for Still image and video databases IV

作者： Smith, John R. Chang, Shih-Fu Columbia Univ. New York NY USA

ISBN: (纸本)0819420441

The growth of digital image and video archives is increasing the need for tools that effectively filter and efficiently search through large amounts of visual data. Towards this goal we propose a technique by which the color content of images and videos is automatically extracted to form a class of meta-data that is easily indexed. The color indexing algorithm uses the back- projection of binary color sets to extract color regions from images. This technique provides for both the automated extraction of regions and representation of their color content. It overcomes some of the problems with color histogram techniques such as high-dimensional feature vectors, spatial localization, indexing and distance computation. We present the binary color set back-projection technique and discuss its implementation in the VisualSEEk content- based image/video retrieval system for the World Wide Web. We also evaluate the retrieval effectiveness of the color set back-projection method and compare its performance to other color image retrieval methods.

关键词： Information retrieval systems

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