Overview
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.
Full Product Details
Author: Francesco Camastra ,
Alessandro Vinciarelli
Publisher: Springer London Ltd
Imprint: Springer London Ltd
Edition: 2008 ed.
Dimensions:
Width: 15.60cm
, Height: 2.80cm
, Length: 23.40cm
Weight: 0.890kg
ISBN: 9781848000063
ISBN 10: 1848000065
Pages: 494
Publication Date: 03 December 2007
Audience:
College/higher education
,
Undergraduate
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: Out of print, replaced by POD
We will order this item for you from a manufatured on demand supplier.
Reviews
From the reviews: A book that focuses on the intersection and intersection of these two fast-growing areas could not be better timed. ! the book is organized into three major parts that cover audio and video processing, machine learning, and applications. ! On the whole, this is a valuable and timely reference book for those interested in machine learning or audio, video, and image processing, although the need for a well-integrated book on this topic still remains. (M. Sasikumar, ACM Computing Reviews, December, 2008) !this book, unlike most other books in this field, not only introduces a few widely used techniques in audio and image analysis, but also discusses the latest advancements in the field. !Distinct from other books, it also points out several public software packages and benchmark data sets that encourage the reader to have a hands-on experience on how machine-learning techniques work to analyze audio and visual content. Its comprehensive coverage on recent development in this research area makes it easy for experienced researchers to further explore the latest techniques. !it is ideal as a textbook or supplemental material for senior graduate courses or advanced topic seminars. (Jie Yu, Journal of Electronic Imaging, Vol. 18, Apr--Jun 2009)
From the reviews: ""A book that focuses on the intersection and intersection of these two fast-growing areas could not be better timed. ... the book is organized into three major parts that cover audio and video processing, machine learning, and applications. ... On the whole, this is a valuable and timely reference book for those interested in machine learning or audio, video, and image processing, although the need for a well-integrated book on this topic still remains."" (M. Sasikumar, ACM Computing Reviews, December, 2008) ""...this book, unlike most other books in this field, not only introduces a few widely used techniques in audio and image analysis, but also discusses the latest advancements in the field. ...Distinct from other books, it also points out several public software packages and benchmark data sets that encourage the reader to have a hands-on experience on how machine-learning techniques work to analyze audio and visual content. Its comprehensive coverage on recent development in this research area makes it easy for experienced researchers to further explore the latest techniques. ...it is ideal as a textbook or supplemental material for senior graduate courses or advanced topic seminars."" (Jie Yu, Journal of Electronic Imaging, Vol. 18, Apr-Jun 2009)
