Machine learning for audio, image and video analysis

✍ Scribed by Camastra F., Vinciarelli A.

• Publisher: Springer
• Year: 2008
• Tongue: English
• Leaves: 484
• Series: Advanced Information and Knowledge Processing
• Category: Library

✦ Synopsis

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

Cover......Page 1
Advanced Information and Knowledge Processing......Page 2
Machine Learning for Audio, Image and Video Analysis......Page 4
Contents......Page 7
1 Introduction......Page 17
2 Audio Acquisition, Representation and Storage......Page 27
3 Image and Video Acquisition, Representation and Storage......Page 64
4 Machine Learning......Page 94
5 Bayesian Theory of Decision......Page 101
6 Clustering Methods......Page 125
7 Foundations of Statistical Learning and Model Selection......Page 157
8 Supervised Neural Networks and Ensemble Methods......Page 180
9 Kernel Methods......Page 216
10 Markovian Models for Sequential Data......Page 268
11 Feature Extraction Methods and Manifold Learning Methods......Page 306
12 Speech and Handwriting Recognition......Page 342
13 Automatic Face Recognition......Page 377
14 Video Segmentation and Keyframe Extraction......Page 407
Part IV Appendices......Page 425
A Statistics......Page 426
B Signal Processing......Page 437
C Matrix Algebra......Page 448
D Mathematical Foundations of Kernel Methods......Page 453
References......Page 471
Index......Page 473