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Books : Computers & Internet : Databases : Multimedia
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Until recently, databases contained easily indexed numbers and text. Today, in the age of powerful, graphically based computers, and the world wide web, databases are likely to contain a much greater variety of data forms, including images, sound, video clips, and even handwritten documents. When multimedia databases are the norm, traditional methods of working with databases no longer apply.
How do you query a video library, or an image database containing x-rays, or sounds in an audio database? Principles of Multimedia Database Systems explains how to work with these new multimedia data forms. It is the first comprehensive treatment of the skills and techniques required to build, maintain, and query multimedia databases.
This book presents the mix of techniques necessary for working with multimedia databases, including synthetic solutions for the design and deployment of multimedia database systems. Because rapid technological developments are constantly changing the landscape of multimedia databases, the book teaches basic theoretical principles applicable to any database.
* Covers the major issues of multimedia database design, with a strong focus on distributed multimedia databases.
* Discusses important topics including how to organize the vast data types, storage and retrieval, and creation and delivery of multimedia presentations.
* Organized around the lively scenario of a crime-fighting database that evolves as new concepts are introduced.
* Includes numerous exercises and suggestions for programming projects.
* Additional materials on the web include updates, on-line supplements, and links to downloadable software.
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Brings together for the first time in one book fully comprehensive coverage of multimedia databases. Covers SQL3 and includes examples and practical exercises. Softcover.
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Provides a comprehensive, systematic approach to understanding current and emerging methods for handling the increasing demands of multimedia databases and their inherent systems issues. Demonstrates how to create an effective multimedia database by integrating the various information indexing and retrieval methods available. DLC: Multimedia systems.
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Recent advances in computing, communication, and data storage have led to an increasing number of large digital libraries publicly available on the Internet. In addition to alphanumeric data, other modalities, including video play an important role in these libraries. Ordinary techniques will not retrieve required information from the enormous mass of data stored in digital video libraries. Instead of words, a video retrieval system deals with collections of video records. Therefore, the system is confronted with the problem of video understanding. The system gathers key information from a video in order to allow users to query semantics instead of raw video data or video features. Users expect tools that automatically understand and manipulate the video content in the same structured way as a traditional database manages numeric and textual data. Consequently, content-based search and retrieval of video data becomes a challenging and important problem.
This book focuses particularly on content-based video retrieval. After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A Database Perspective concentrates on the semantic gap problem, i.e., the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval. This book identifies and proposes the integrated use of three different techniques to bridge the semantic gap, namely, spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks. As the problem is approached from a database perspective, the emphasis evolves from a database management system into a video database management system. This system allows a user to retrieve the desired video sequence among voluminous amounts of video data in an efficient and semantically meaningful way. This book also presents a modeling framework and a prototype of a content-based video management system that integrates the three methods and provides efficient, flexible, and scalable content-based video retrieval. The proposed approach is validated in the domain of sport videos for which some experimental results are presented.
Content-Based Video Retrieval: A Database Perspective is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and electrical engineering.
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Multimedia Database Retrieval: A Human-Centered Approach presents the
latest development in user-centered methods and the state-of-the-art in
visual media retrieval. It includes discussion on perceptually inspired
non-linear paradigm in user-controlled interactive retrieval (UCIR)
systems. It also features a coherent approach which focuses on specific topics
within content/concept-based retrievals via audio-visual information modeling
of multimedia.Highlights include:
* Exploring an adaptive machine that can learn from its
environment* Optimizing the learning system by incorporating self-organizing
adaptation into the retrieval process* Demonstrating state-of-the-art applications within small,
medium, and large databasesThe authors also include applications related to Digital Asset
Management (DAM), Computer Aided Referral (CAR) System, Geographical
Database Retrieval, retrieval of Art Documents, and Films and Video
Retrieval.Multimedia Database Retrieval: A Human-Centered Approach presents the
fundamental and advanced aspects of these topics, as well as the
philosophical directions in the field. The methods detailed in this
book possess broad applications which will advance the technology in
this fast developing topical area.
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Searching Multimedia Databases by Content bridges the gap between the database and signal processing communities by providing the necessary background information for the reader and presenting it along with the intuition and mechanics of the best existing tools in each area.
The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to spatial access methods and text retrieval. In all cases, the emphasis is on practical approaches that have been incorporated in commercial systems, or that seem very promising.
The second half of the book uses the above access methods to achieve fast searching in a database of signals. A general methodology is presented, which suggests extracting a few good features from each multimedia object, thus mapping objects into points in a metric space. Finally, the book concludes by presenting some recent successful applications of the methodology on time series and color images.
Searching Multimedia Databases by Content is targeted towards researchers and developers of multimedia systems. The book can also serve as a textbook for a graduate course on multimedia searching, covering both access methods as well as the basics of signal processing.
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Affordable and mainstream manipulation of multimedia data types will lead to tremendous growth in imaging and multimedia data in general computing environments. Multimedia and imaging applications can now provide benefits to common business applications by integrating voice, sound, images, animation and digitized video. Ultimately, it will be possible to convert all information that
is currently stored on paper, video and film into a digitized environment. This will allow users to organize, search and route multimedia objects over local and wide area networks in real time.
The authors' introductory level presentation of this new class of data types supplies the database technology required for effective manipulation and storage. Multimedia and database experts, Khoshafian and Baker aptly illustrate the ability of multimedia database systems
to concurrently share, access, and query large collections of multimedia information. They introduce the elemental concepts of object and relational databases and then apply them to multimedia and imaging
databases. Fundamental database topics discussed include querying, transaction support, recovery, security, and storage.
This book provides information essential to the incorporation of multimedia databases that will improve the quantity and quality of
information manipulated by computer users in many areas including medicine, computer aided design, and information retrieval systems.
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Advanced Signature Indexing for Multimedia and Web Applications presents the latest research developments in signature-based indexing and query processing, specifically in multimedia and Web domains. These domains now demand a different designation of hashing information in bit-strings (i.e., signatures), and new indexes and query processing methods. The book provides solutions to these issues and addresses the resulting requirements, which are not adequately handled by existing approaches. Examples of these applications include: searching for similar images, representing multi-theme layers in maps, recommending products to Web-clients, and indexing large Web-log files. Special emphasis is given to structure description, implementation techniques and clear evaluation of operations performed (from a performance perspective).
Advanced Signature Indexing for Multimedia and Web Applications is an excellent reference for professionals involved in the development of applications in multimedia databases or the Web and may also serve as a textbook for advanced level courses in database and information retrieval systems.
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Proceedings of the Seminar on Multimedia and Databases , held at Kyoto University, Japan, on September 1997 through March 1998. Contains research and development on multimedia and databases in Switzerland and Japan.
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This document is about Data Challenges in a Multimedia Message Service Center - The Use of Berkeley DB Embedded Database Within LogicaCMG's MMSC
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Database Directions: From Relational to Distributed, Multimedia and Object-Oriented Database Systems
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Database Semantics: Semantic Issues in Multimedia Systems reflects the state of the art of emerging research on the meaning of multimedia information, as presented during IFIP's Eighth Data Semantics Working Conference (DS-8), organized by its Working Group 2.6 on Databases, and held at Rotorua, New Zealand, in January 1999. DS-8 was planned as an active forum for researchers and practitioners focusing on those issues that involve the semantics of the information represented, stored, and manipulated by multimedia systems. Depending on the topic and state of research, issues may be covered either deeply theoretically or quite practically, or even both.
These proceedings contain twenty-one papers carefully selected by an International Programme Committee and organized in six thematic areas:- Video Data Modelling and Use;
- Image Databases;
- Applications of Multimedia Systems;
- Multimedia Modeling in General;
- Multimedia Information Retrieval;
- Semantics and Metadata.
For almost every area, important topics and issues include: - data modeling and query languages for media such as audio, video, and images;
- methodological aspects of multimedia database design;
- intelligent multimedia information retrieval;
- knowledge discovery and data mining in multimedia information;
- multimedia user interfaces.
Three visionary keynote addresses, by famous experts Ramesh Jain, Hermann Maurer and Masao Sakauchi, set the stage for discussion and future directions for the field. The collection of papers that resulted now offers a glimpse of the excitement and enthusiasm from DS-8.
Database Semantics: Semantic Issues in Multimedia Systems is suitable as a secondary text for a graduate-level course on database systems, multimedia systems, or information retrieval systems and as a reference for practitioners and researchers in industry.
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A multimedia system needs a mechanism to communicate with its environment, the Internet, clients, and applications. MPEG-7 provides a standard metadata format for global communication, but lacks the framework to let the various players in a system interact. MPEG-21 closes this gap by establishing an infrastructure for a distributed multimedia framework, allowing for the creation, modification, viewing, and communication of digital items among all participants within an MPEG-21 agreement.Now you have a guide that examines the structure and potential usage of these emerging standards. Distributed Multimedia Database Technologies Supported by MPEG-7 and MPEG-21 describesthe technologies, concepts, and tools of distributed, content-based multimedia systems. It focuses on the practical uses of the technologies of MPEG and SQL/MM in these components, and on the interoperability among them (for data exchange, transactions, interaction, etc.). This book demonstrates an open distributed multimedia framework that enables these components to cooperate in a working environment, delivering rich multimedia access in an increasingly mobile world.
About the Author
Harald Kosch is an associate professor at the University of Klagenfurt. His domains of interest are distributed multimedia systems, multimedia databases, middleware, and Internet applications. He started research at the École Normale Supèrieure in 1993 during postgraduate study and entered the Ph.D. program in 1994, obtaining his Ph.D. degree in June 1997. He actively participates in the Moving Picture Experts Group (MPEG)-7 and MPEG-21 standardization and is involved in several international research projects in the domain of distributed multimedia systems.
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Multimedia application techniques used in contexts as diverse as business, government, education, entertainment, and healthcare are continually challenged by modeling, specification, analysis, and design issues that affect distributed multimedia database systems. These challenges are analyzed and practical solutions are offered in this scholarly discussion of database techniques such as image retrieval, video abstraction, video database, and multimedia and multistream synchronization. The most recent research findings are presented to facilitate effective database management.
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This digital document is an article from International Journal of Instructional Media, published by Thomson Gale on September 22, 2005. The length of the article is 5128 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
Citation Details
Title: The effects of advisement and small groups on learning from a multimedia database.
Author: Jonathan D. Brinkerhoff
Publication: International Journal of Instructional Media (Magazine/Journal)
Date: September 22, 2005
Publisher: Thomson Gale
Volume: 32 Issue: 4 Page: 409(12)
Distributed by Thomson Gale
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This digital document is an article from National Underwriter Property & Casualty-Risk & Benefits Management, published by The National Underwriter Company on July 5, 1993. The length of the article is 523 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the supplier: Insurance and marketing consultants believe that insurers will obtain better results by using integrated database multi-media advertising programs to replace the name recognition advertising commonly utilized. Name recognition advertising produces good customer relations, but integrated marketing, especially direct response, produces sales. Insurers must carefully plan their integrated campaigns before using them.
Citation Details
Title: Experts tout integrated marketing. (insurers, integrated database multi-media marketing)
Author: Brian Cox
Publication: National Underwriter Property & Casualty-Risk & Benefits Management (Magazine/Journal)
Date: July 5, 1993
Publisher: The National Underwriter Company
Issue: n27 Page: p37(1)
Distributed by Thomson Gale
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The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research.
Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use "data mining" to search for an image if you do not have "key words" to search? Exploratory Image Databases introduces the idea that it is possible to solve this problem by merging database systems into a single search and browse activity called "exploration."
Exploratory Image Databases is one of the first single-author books that unifies the critical emerging topic of image databases. A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches.
Example: Imagine the difficulty of building and using a database for "face recognition," where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics.
* Comprehensive coverage of the image analysis as well as the database/theoretical aspects of image databases.
* Extensive coverage of interfaces and interaction models, with a theoretical framework for the development of new interaction schemes.
* Identifies three interaction models between users and image databases, two of which have no counterpart in traditional databases.
* Coverage of the relation between image and text, including mixed search models and the automatic determination of the relation between images and text on large corpuses like the web.
* Analysis of the process of signification in images and its influence on the interaction models and technological problems of image databases.
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Provides a state-of-the-art description of the field of image databases & multi-media search engines in the proceedings of a workshop in Amsterdam, where progress in the field was discussed, covering computational methods, storage & ways to access requested pictoral information.
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Intelligent Multimedia Computing Science is an interdisciplinary field combining the arts, sciences, artificial intelligence, computer science, mathematics, and the humanities. The field presented is deeply rooted in AI, mathematical logic and models, modern communications, computer, and human sciences. Academic digital media studies are at times a partnership among Arts and Sciences, Computer Science, and Mathematics. The new fields encompass the Intelligent and cognitive aspects of media arts and sciences, exploring the technical, cognitive, and aesthetic bases to human multimedia intelligence and its computation, the applications to business intelligence, model discovery, data mines and intelligent data bases, and IT. The monograph is a technical and practical book to the popular audience, to the business minded professionals, and to all groups wanting to be on an intelligent bearing to the new field. READERSHIP: The monograph can be used as a university book for a course on intelligent multimedia sciences and all professional career paths within it. This book is a valuable source for the computer professionals, the business intelligence, data mining, wireless computing, IT career persons, students and faculty members working in the fields of artificial intelligence, mutlimedia computing, computer science and engineering, and the popular science enthusiasts.