Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - Hardcover

Camastra, Francesco; Vinciarelli, Alessandro

Hardcover

ISBN 10: 1848000065 ISBN 13: 9781848000063

Verlag: Springer, 2007

Inhaltsangabe

1. 1 TwoFundamentalQuestions There are two fundamental questions that should be answered before buying, and even more before reading, a book: • Why should one read the book? • What is the book about? This is the reason why this section, the ?rst of the whole text, proposes some motivations for potential readers (Section 1. 1. 1) and an overall description of the content (Section 1. 1. 2). If the answers are convincing, further information can be found in the rest of this chapter: Section 1. 2 shows in detail the str- ture of the book, Section 1. 3 presents some features that can help the reader to better move through the text, and Section 1. 4 provides some reading tracks targeting speci?c topics. 1. 1. 1 Why Should One Read The Book? One of the most interesting technological phenomena in recent years is the di?usion of consumer electronic products with constantly increasing acqui- tion, storage and processing power. As an example, consider the evolution of digital cameras: the ?rst models available in the market in the early nineties produced images composed of 1. 6 million pixels (this is the meaning of the expression 1. 6 megapixels), carried an onboard memory of 16 megabytes, and had an average cost higher than 10,000 U. S. dollars. At the time this book is being written, the best models are close to or even above 8 megapixels, have internal memories of one gigabyte and they cost around 1,000 U. S. dollars.

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Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. 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.

The machine learning techniques presented enable readers to address many real world problems involving complex data. Examples covering areas such as automatic speech and handwriting transcription, automatic face recognition, and semantic video segmentation are included, along with detailed introductions to algorithms and examples of their applications.

The book is organized in four 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, while the third part focuses on applications and shows how techniques are applied in actual problems. The fourth part contains detailed appendices that provide notions about the main mathematical instruments used throughout the text.

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. Examples and problems are based

on data and software packages publicly available on the web.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2007
• Sprache: Englisch
• ISBN 10: 1848000065
• ISBN 13: 9781848000063
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 510
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar