Machine Learning for Audio, Image and Video Analysis

Theory and Applications
Buch | Hardcover
494 Seiten
2007 | 2008 ed.
Springer London Ltd (Verlag)
978-1-84800-006-3 (ISBN)

Lese- und Medienproben

Machine Learning for Audio, Image and Video Analysis - Francesco Camastra, Alessandro Vinciarelli
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This book illustrates how to deal with complex media and convert raw data into useful information. Students and researchers needing a solid foundation or reference, and practitioners interested in discovering more about the state-of-the-art will find this book invaluable.
Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined fields of machine learning and image/video processing. It is organized into three parts. The first focuses on technical aspects, basic mathematical notions and elementary machine learning techniques. The second provides an extensive survey of most relevant machine learning techniques for media processing. The third focuses on applications and shows how techniques are applied in actual problems. Examples and problems are based on data and software packages publicly available on the web.

From Perception to Computation.- Audio Acquisition, Representation and Storage.- Image and Video Acquisition, Representation and Storage.- Machine Learning.- Machine Learning.- Bayesian Theory of Decision.- Clustering Methods.- Foundations of Statistical Learning and Model Selection.- Supervised Neural Networks and Ensemble Methods.- Kernel Methods.- Markovian Models for Sequential Data.- Feature Extraction Methods and Manifold Learning Methods.- Applications.- Speech and Handwriting Recognition.- Automatic Face Recognition.- Video Segmentation and Keyframe Extraction.

Erscheint lt. Verlag 3.12.2007
Reihe/Serie Advanced Information and Knowledge Processing
Zusatzinfo 6 black & white tables, biography
Verlagsort England
Sprache englisch
Maße 156 x 234 mm
Gewicht 890 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-84800-006-5 / 1848000065
ISBN-13 978-1-84800-006-3 / 9781848000063
Zustand Neuware
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