Machine Learning Techniques for Multimedia

Name: Machine Learning Techniques for Multimedia
SKU: 22871739
Price: 399.99 AUD
Availability: InStock

Case Studies on Organization and Retrieval

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Paperback / softback

Series:

Cognitive Technologies

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$399.99

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Description

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music. This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.

Release date Australia

September 23rd, 2014

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational
Undergraduate

Contributors

Edited by Matthieu Cord
Edited by Padraig Cunningham

Illustrations

XVI, 289 p.

Pages

289

Series

Cognitive Technologies

Dimensions

155x235x17

ISBN-13

9783642443626

Product ID

22871739

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Machine Learning Techniques for Multimedia

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