Multimedia Retrieval

Author:   Henk M. Blanken ,  Arjen P. de Vries ,  Henk Ernst Blok ,  Ling Feng
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2007
ISBN:  

9783642091995


Pages:   372
Publication Date:   19 November 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
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Multimedia Retrieval


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Overview

Retrieval of multimedia data is different from retrieval of structured data. A key problem in multimedia databases is search, and the proposed solutions to the problem of multimedia information retrieval span a rather wide spectrum of topics outside the traditional database area, ranging from information retrieval and human–computer interaction to computer vision and pattern recognition. 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; various metadata languages like Dublin Core, RDF, or MPEG; pattern recognition through Markov models, unsupervised learning, and pattern clustering; various indexing approaches to audio and video streams; interaction and control; the protection of content and user privacy; and search effectiveness and efficiency. The authors emphasize high-level features and show how these features 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.

Full Product Details

Author:   Henk M. Blanken ,  Arjen P. de Vries ,  Henk Ernst Blok ,  Ling Feng
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2007
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   0.599kg
ISBN:  

9783642091995


ISBN 10:   3642091997
Pages:   372
Publication Date:   19 November 2010
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Languages for Metadata.- Pattern Recognition for Multimedia Content Analysis.- Searching for Text Documents.- Image Processing.- Generative Probabilistic Models.- Speech Indexing.- Semantic Video Indexing.- A Spatio-Temporal and a Probabilistic Approach for Video Retrieval.- Multimodal Content-based Video Retrieval.- Interaction.- Digital Rights Management.- Evaluation of Multimedia Retrieval Systems.

Reviews

From the reviews: This book contains 13 chapters that discuss the different aspects of multimedia retrieval and is intended for masters-level students. I believe that it is a good effort and a useful resource for advanced undergraduates and early graduate students to begin their research journey. ... Overall, the book is well written. ... Readers can gain some breadth about the problems, approaches, and challenges in the multimedia analysis research domain. ... I believe that the book will be beneficial for multimedia-analysis-related university courses. (Dhiraj Joshi, Journal of Electronic Imaging, Vol. 17 (3), 2008) Multimedia information retrieval has lacked a textbook as this one for many years. The editors realised this need ... they took over the task of compiling contributions from several researchers to create this textbook. `Multimedia Retrieval' is an inspiring collection of expertise that presents some of the state-of-the-art work done by researchers in The Netherlands. ... This is a unique textbook that gathers expertise valuable for any MSc student or PhD researching in the field of Multimedia Information Retrieval. (Joao Magalhaes, Informer, Issue 27, Summer, 2008) a very good reference for both researchers and practitioners. (from the ACM Reviews by Xiannong Meng, Bucknell University, USA)


There are few books that fill such a large gap as this one. This is a unique textbook that gathers expertise valuable for any MSc student or PhD researcher in the field of Multimedia Information Retrieval. - from the review of Joao Magalhaes in Informer #27


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