Multimedia Information Retrieval

Multimedia Information Retrieval PDF Author: Stefan Rueger
Publisher: Morgan & Claypool Publishers
ISBN: 160845097X
Category : Computers
Languages : en
Pages : 155

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Book Description
Supporting users in their resource discovery mission when hunting for multimedia material is not a technological indexing problem alone. We look at interactiveways of engaging with repositories through browsing and relevance feedback, roping in geographical context, and providing visual summaries for videos. The book concludes with an overview of state-of-the-art research projects in the area of multimedia information retrieval, which gives an indication of the research and development trends and, thereby, a glimpse of the future world.

Multimedia Information Retrieval

Multimedia Information Retrieval PDF Author: Stefan Rueger
Publisher: Morgan & Claypool Publishers
ISBN: 160845097X
Category : Computers
Languages : en
Pages : 155

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Book Description
Supporting users in their resource discovery mission when hunting for multimedia material is not a technological indexing problem alone. We look at interactiveways of engaging with repositories through browsing and relevance feedback, roping in geographical context, and providing visual summaries for videos. The book concludes with an overview of state-of-the-art research projects in the area of multimedia information retrieval, which gives an indication of the research and development trends and, thereby, a glimpse of the future world.

Multimedia Information Retrieval and Management

Multimedia Information Retrieval and Management PDF Author: David Feng
Publisher: Springer Science & Business Media
ISBN: 3662053004
Category : Technology & Engineering
Languages : en
Pages : 494

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Book Description
Everything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. Leading experts also cover a broad range of practical applications.

Multimedia Information Retrieval

Multimedia Information Retrieval PDF Author: Peter Schäuble
Publisher: Springer Science & Business Media
ISBN: 9780792398998
Category : Computers
Languages : en
Pages : 214

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Book Description
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 Retrieval

Multimedia Retrieval PDF Author: Henk M. Blanken
Publisher: Springer Science & Business Media
ISBN: 3540728953
Category : Computers
Languages : en
Pages : 384

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Book Description
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.

Foundations of Large-Scale Multimedia Information Management and Retrieval

Foundations of Large-Scale Multimedia Information Management and Retrieval PDF Author: Edward Y. Chang
Publisher: Springer Science & Business Media
ISBN: 3642204295
Category : Computers
Languages : en
Pages : 300

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Book Description
"Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions. The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, Machine Learning, Large-scale Data Mining, Database, and Multimedia Information Retrieval. Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.

Multimedia Information Storage and Retrieval: Techniques and Technologies

Multimedia Information Storage and Retrieval: Techniques and Technologies PDF Author: Tse, Philip K.C
Publisher: IGI Global
ISBN: 1599042274
Category : Computers
Languages : en
Pages : 418

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Book Description
"This book offers solutions to the challenges of storage and manipulation of a variety of media types providing data placement techniques, scheduling methods, caching techniques and emerging characteristics of multimedia information. Academicians, students, professionals and practitioners in the multimedia industry will benefit from this ground-breaking publication"--Provided by publisher.

Multimedia Information Systems

Multimedia Information Systems PDF Author: V.S. Subrahmanian
Publisher: Springer Science & Business Media
ISBN: 9780792381815
Category : Computers
Languages : en
Pages : 150

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Book Description
Multimedia Information Systems brings together in one place important contributions and up-to-date research results in this fast moving area. Multimedia Information Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Information Retrieval for Music and Motion

Information Retrieval for Music and Motion PDF Author: Meinard Müller
Publisher: Springer Science & Business Media
ISBN: 3540740481
Category : Computers
Languages : en
Pages : 319

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Book Description
Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization.

Readings in Information Retrieval

Readings in Information Retrieval PDF Author: Karen Sparck Jones
Publisher: Morgan Kaufmann
ISBN: 9781558604544
Category : Computers
Languages : en
Pages : 614

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Book Description
This compilation of original papers on information retrieval presents an overview, covering both general theory and specific methods, of the development and current status of information retrieval systems. Each chapter contains several papers carefully chosen to represent substantive research work that has been carried out in that area, each is preceded by an introductory overview and followed by supported references for further reading.

Intelligent Analysis of Multimedia Information

Intelligent Analysis of Multimedia Information PDF Author: Bhattacharyya, Siddhartha
Publisher: IGI Global
ISBN: 1522504990
Category : Computers
Languages : en
Pages : 543

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Book Description
Multimedia represents information in novel and varied formats. One of the most prevalent examples of continuous media is video. Extracting underlying data from these videos can be an arduous task. From video indexing, surveillance, and mining, complex computational applications are required to process this data. Intelligent Analysis of Multimedia Information is a pivotal reference source for the latest scholarly research on the implementation of innovative techniques to a broad spectrum of multimedia applications by presenting emerging methods in continuous media processing and manipulation. This book offers a fresh perspective for students and researchers of information technology, media professionals, and programmers.