Machine learning for audio, image and video analysis : theory and applications
Author(s)
Bibliographic Information
Machine learning for audio, image and video analysis : theory and applications
（Advanced information and knowledge processing）
Springer, c2010
- : pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
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.
by "Nielsen BookData"