Machine Learning Techniques for Multimedia

Name: Machine Learning Techniques for Multimedia
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540751700
Price: 829.14 RON
Availability: InStock

Case Studies on Organization and Retrieval

Autor: Matthieu Cord, Pádraig Cunningham

Limbă:

Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

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Processing multimedia content has emerged as a key area for the application of machine learning tech...

Informații despre carte

Autor

Matthieu Cord, Pádraig Cunningham

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2008

Pagini

289

EAN

9783540751700

ISBN

354075170X

Enbook ID

01569267

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

652

Dimensiuni

155 x 235 x 21

Descriere completă

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.

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Machine Learning Techniques for Multimedia

Case Studies on Organization and Retrieval

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