Multimedia Database Retrieval
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Multimedia Database Retrieval
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Author : Paisarn Muneesawang
language : en
Publisher: Springer
Release Date : 2014-10-25
Multimedia Database Retrieval written by Paisarn Muneesawang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-25 with Computers categories.
This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.
Multimedia Database Retrieval
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Author : Paisarn Muneesawang
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-15
Multimedia Database Retrieval written by Paisarn Muneesawang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-15 with Computers categories.
-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.
Multimedia Retrieval
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Author : Henk M. Blanken
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-13
Multimedia Retrieval written by Henk M. Blanken and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-13 with Computers categories.
Based on more than 10 years of teaching experience, Blanken and his coeditors have assembled all the topics that should be covered in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the general architecture of multimedia information retrieval systems and cover various metadata languages such as Dublin Core, RDF, or MPEG. The authors emphasize high-level features and show how these are used in mathematical models to support the retrieval process. For each chapter, there’s detail on further reading, and additional exercises and teaching material is available online.
Machine Learning Techniques For Adaptive Multimedia Retrieval Technologies Applications And Perspectives
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Author : Wei, Chia-Hung
language : en
Publisher: IGI Global
Release Date : 2010-10-31
Machine Learning Techniques For Adaptive Multimedia Retrieval Technologies Applications And Perspectives written by Wei, Chia-Hung and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Computers categories.
"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
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Author : K. Selçuk Candan
language : en
Publisher: Cambridge University Press
Release Date : 2010-05-31
Data Management For Multimedia Retrieval written by K. Selçuk Candan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-31 with Computers categories.
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.
Multimedia Information Retrieval
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Author : Peter Schäuble
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-04-30
Multimedia Information Retrieval written by Peter Schäuble and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-30 with Computers categories.
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositories, such as digital libraries and other multimedia databases. Because of the dramatically increasing amount of multimedia data available, there is a growing need for new search techniques that provide not only fewer bits, but also the most relevant bits, to those searching for multimedia digital data. This book serves to bridge the gap between classic ranking of text documents and modern information retrieval where composite multimedia documents are searched for relevant information. Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases begins to pave the way for speech retrieval; only recently has the search for information in speech recordings become feasible. This book provides the necessary introduction to speech recognition while discussing probabilistic retrieval and text retrieval, key topics in classic information retrieval. The book then discusses speech retrieval, which is even more challenging than retrieving text documents because word boundaries are difficult to detect, and recognition errors affect the retrieval effectiveness. This book also addresses the problem of integrating information retrieval and database functions, since there is an increasing need for retrieving information from frequently changing data collections which are organized and managed by a database system. Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases serves as an excellent reference source and may be used as a text for advanced courses on the topic.
Multimedia Database Management Systems
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Author : Guojun Lu
language : en
Publisher: Artech House Computing Library
Release Date : 1999
Multimedia Database Management Systems written by Guojun Lu and has been published by Artech House Computing Library this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Traditional database management systems can't handle the demands of managing multimedia data. with the rapid growth of multimedia platforms and the world wide web, database management systems must now process, store, index, and retrieve alphanumeric data, bitmapped and vector-based graphics, and video and audio clips both compressed and uncompressed. The comprehensive, systematic approach of Multimedia Database Management Systems presents you with current and emerging methods for managing the increasing demands of multimedia databases and their inherent design and architecture issues.
Managing And Mining Multimedia Databases
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2001-06-28
Managing And Mining Multimedia Databases written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-28 with Computers categories.
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 databa
Multimedia Database Systems
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Author : V.S. Subrahmanian
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Multimedia Database Systems written by V.S. Subrahmanian and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Intelligent Multimedia Databases And Information Retrieval Advancing Applications And Technologies
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Author : Yan, Li
language : en
Publisher: IGI Global
Release Date : 2011-09-30
Intelligent Multimedia Databases And Information Retrieval Advancing Applications And Technologies written by Yan, Li and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-30 with Computers categories.
As consumer costs for multimedia devices such as digital cameras and Web phones have decreased and diversity in the market has skyrocketed, the amount of digital information has grown considerably. Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies details the latest information retrieval technologies and applications, the research surrounding the field, and the methodologies and design related to multimedia databases. Together with academic researchers and developers from both information retrieval and artificial intelligence fields, this book details issues and semantics of data retrieval with contributions from around the globe. As the information and data from multimedia databases continues to expand, the research and documentation surrounding it should keep pace as best as possible, and this book provides an excellent resource for the latest developments.