Multimedia Database in Perspective

Multimedia Database in Perspective
Author: Peter M.G. Apers
Publisher: Springer Science & Business Media
Total Pages: 373
Release: 2012-12-06
Genre: Computers
ISBN: 1447109570
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During the last decade, multimedia has emerged as a major research and de velopment area. Pushed by advanced technology like huge-capacity storage de vices, fast networks, and powerful work stations, new applications have arisen. Many definitions of multimedia systems exist, one of them being computer sys tems that support interactive use of at least one of the following information sources: graphics, image, voice, sound, and video. These systems have caused a boom in the world of entertainment, but also in other business areas great opportunities for novel products and services are available. The size of multi media data is often huge, and the storage of huge amounts of data is a task normally allocated to database management systems. Although some modern database management systems offer facilities to support development of multi media applications, many problems related to multimedia support are still not well understood. This book reports on research efforts to solve some of these problems. An in troductory knowledge of databases, and also of operating systems and network technology is assumed. The book is very suitable as material for courses at senior or graduate level, but also for upgrading the skills of computer scientists working on database management systems, multimedia systems or applications. The book consists of four parts. Part I is called "Requirements for a Mul timedia Database" and comprises chapters one to three. Chapter one presents an outline of the book.

Multimedia Database Management Systems

Multimedia Database Management Systems
Author: B. Prabhakaran
Publisher: Springer Science & Business Media
Total Pages: 212
Release: 2012-12-06
Genre: Computers
ISBN: 146156235X
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Multimedia Database Management Systems presents the issues and the techniques used in building multimedia database management systems. Chapter 1 provides an overview of multimedia databases and underlines the new requirements for these applications. Chapter 2 discusses the techniques used for storing and retrieving multimedia objects. Chapter 3 presents the techniques used for generating metadata for various media objects. Chapter 4 examines the mechanisms used for storing the index information needed for accessing different media objects. Chapter 5 analyzes the approaches for modeling media objects, both their temporal and spatial characteristics. Object-oriented approach, with some additional features, has been widely used to model multimedia information. The book discusses two systems that use object-oriented models: OVID (Object Video Information Database) and Jasmine. The models for representing temporal and spatial requirements of media objects are then studied. The book also describes authoring techniques used for specifying temporal and spatial characteristics of multimedia databases. Chapter 6 explains different types of multimedia queries, the methodologies for processing them and the language features for describing them. The features offered by query languages such as SQL/MM (Structured Query Language for Multimedia), PICQUERY+, and Video SQL are also studied. Chapter 7 deals with the communication requirements for multimedia databases. A client accessing multimedia data over computer networks needs to identify a schedule for retrieving various media objects composing the database. The book identifies possible ways for generating a retrieval schedule. Chapter 8 ties together the techniques discussed in the previous chapters by providing a simple architecture of a distributed multimedia database management system. Multimedia Database Management Systems can be used as a text for graduate students and researchers working in the area of multimedia databases. In addition, the book serves as essential reading material for computer professionals who are in (or moving to) the area of multimedia databases.

Multimedia Databases

Multimedia Databases
Author: Lynne Dunckley
Publisher: Addison-Wesley
Total Pages: 470
Release: 2003
Genre: Computers
ISBN:
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This book brings together coverage of SQL, multimedia metadata, image processing, computer vision, networks, and database management. It provides an understanding of multimedia data and database technology and explains why advances in both have come together to create the field of multimedia databases. Exercises and solutions are included. Dunckley teaches information technology at Thames Valley University. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).

Multimedia Database Retrieval:

Multimedia Database Retrieval:
Author: Paisarn Muneesawang
Publisher: Springer Science & Business Media
Total Pages: 191
Release: 2006-12-15
Genre: Computers
ISBN: 0387346295
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-Presents state-of-the-art in visual media retrieval. -Coverage of adaptive content-based retrieval systems and techniques in image and video database applications. -Includes a novel machine-controlled interactive retrieval (MCIR) method that optimizes image search in distributed digital libraries over the Internet.

Managing and Mining Multimedia Databases

Managing and Mining Multimedia Databases
Author: Bhavani Thuraisingham
Publisher: CRC Press
Total Pages: 356
Release: 2001-06-28
Genre: Computers
ISBN: 9780849300370
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There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. To manage this data, provide interoperability and warehousing between multiple data sources and systems, and extract information from the databases and warehouses, various tools are being developed. In fact, developments in multimedia database management have exploded during the past decade. To date, however, there has been little information available on providing a complete set of services for multimedia databases, including their management, mining, and integration on the Web for electronic enterprises. Managing and Mining Multimedia Databases fills that gap. Focusing on managing and mining multimedia databases for electronic commerce and business, it explores database management system techniques for text, image, audio, and video databases. It addresses the issues and challenges of mining multimedia databases to extract information, and discusses the directions and challenges related to integrating multimedia databases for the Web, particularly for e-business. This book provides a comprehensive overview of multimedia data management and mining technologies, from the underlying concepts, architectures, and data models for multimedia database systems to the technologies that support multimedia data management on the Web, privacy issues, and emerging standards, prototypes, and products. Designed for technical managers, executives, and technologists, it offers your only opportunity to learn about both multimedia data management and multimedia data mining within a single book.

Perspectives on Content-Based Multimedia Systems

Perspectives on Content-Based Multimedia Systems
Author: Jian Kang Wu
Publisher: Springer Science & Business Media
Total Pages: 397
Release: 2006-04-11
Genre: Computers
ISBN: 0306470330
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Multimedia data comprising of images, audio and video is becoming increasingly common. The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of multimedia data generated and distributed. Given that this trend of increased use of multimedia data is likely to accelerate, there is an urgent need for providing a clear means of capturing, storing, indexing, retrieving, analyzing and summarizing such data. Content-based access to multimedia data is of primary importance since it is the natural way by which human beings interact with such information. To facilitate the content-based access of multimedia information, the first step is to derive feature measures from these data so that a feature space representation of the data content can be formed. This can subsequently allow for mapping the feature space to the symbol space (semantics) either automatically or through human intervention. Thus, signal to symbol mapping, useful for any practical system, can be successfully achieved. Perspectives on Content-Based Multimedia Systems provides a comprehensive set of techniques to tackle these important issues. This book offers detailed solutions to a wide range of practical problems in building real systems by providing specifics of three systems built by the authors. While providing a systems focus, it also equips the reader with a keen understanding of the fundamental issues, including a formalism for content-based multimedia database systems, multimedia feature extraction, object-based techniques, signature-based techniques and fuzzy retrieval techniques. The performance evaluation issues of practical systems is also explained. This book brings together essential elements of building a content-based multimedia database system in a way that makes them accessible to practitioners in computer science and electrical engineering. It can also serve as a textbook for graduate-level courses.

Content-Based Video Retrieval

Content-Based Video Retrieval
Author: Milan Petkovic
Publisher: Springer Science & Business Media
Total Pages: 157
Release: 2013-06-29
Genre: Computers
ISBN: 1475748655
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The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap. The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap: (1) a technique that uses the spatio-temporal extension of the Cobra framework, (2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real video data. The book also discusses domains solutions versus general solution of the problem. Petkovi6 and Jonker proposed a solution that allows a system to be applied in multiple domains with minimal adjustments. They also designed and described a prototype video database management system, which is based on techniques they proposed in the book.

Multimedia Database Systems

Multimedia Database Systems
Author: V.S. Subrahmanian
Publisher: Springer Science & Business Media
Total Pages: 333
Release: 2012-12-06
Genre: Computers
ISBN: 3642609503
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With the rapid growth in the use of computers to manipulate, process, and reason about multimedia data, the problem of how to store and retrieve such data is becoming increasingly important. Thus, although the field of multimedia database systems is only about 5 years old, it is rapidly becoming a focus for much excitement and research effort. Multimedia database systems are intended to provide unified frameworks for requesting and integrating information in a wide variety of formats, such as audio and video data, document data, and image data. Such data often have special storage requirements that are closely coupled to the various kinds of devices that are used for recording and presenting the data, and for each form of data there are often multiple representations and multiple standards - all of which make the database integration task quite complex. Some of the problems include: - what a multimedia database query means - what kinds of languages to use for posing queries - how to develop compilers for such languages - how to develop indexing structures for storing media on ancillary devices - data compression techniques - how to present and author presentations based on user queries. Although approaches are being developed for a number of these problems, they have often been ad hoc in nature, and there is a need to provide a princi pled theoretical foundation.

Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives

Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives
Author: Wei, Chia-Hung
Publisher: IGI Global
Total Pages: 408
Release: 2010-10-31
Genre: Computers
ISBN: 1616928611
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"This book disseminates current information on multimedia retrieval, advancing the field of multimedia databases, and educating the multimedia database community on machine learning techniques for adaptive multimedia retrieval research, design and applications"--Provided by publisher.

Data Management for Multimedia Retrieval

Data Management for Multimedia Retrieval
Author: K. Selçuk Candan
Publisher: Cambridge University Press
Total Pages: 513
Release: 2010-05-31
Genre: Computers
ISBN: 1139489585
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Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking.