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OverviewVisual Perception of Music Notation: On-Line and Off Line Recognition addresses the computer recognition of music notation, its interpretation and use within various application contexts. It includes research in the field of image processing and pen-based computing, representation languages and web-based applications. This book consolidates the successes, challenges and questions raised by the computer perception of this music notation language. Full Product DetailsAuthor: Susan Ella GeorgePublisher: IGI Global Imprint: IGI Publishing Dimensions: Width: 17.80cm , Height: 2.20cm , Length: 25.40cm Weight: 0.800kg ISBN: 9781591402985ISBN 10: 1591402980 Pages: 374 Publication Date: 30 July 2003 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsSection 1: Off-Line Music Processing: Chapter 1: Staff Line Removal, Chapter 2: An Off-line Optical Music Sheet Recognition, Chapter 3: Wavelets for Dealing with Super-imposed Objects in the Recognition of Music Notation; Section 2: Handwritten Music Recognition: Chapter 4: Optical Music Analysis for Printed and Handwritten Manuscript, Chapter 5: Pen-Based Input for On-Line Handwritten Music Notation; Section 3: Lyric Recognition: Chapter 6: Multilingual Lyric Modelling and Management, Chapter 7: Lyric Recognition and Christian Music; Section 4: Music Description and its Applications: Chapter 8: Towards Constructing Emotional Landscapes with Music, Chapter 9: Modeling Music Notation in the Internet Multimedia AgeSection 5: Evaluation, Chapter 10: Evaluation in the Visual Perception of MusicReviewsAuthor InformationSusan E. George is currently a senior lecturer in Computer and Information Science at the University of South Australia. Her research interests include artificial neural networks and pattern recognition with applications in biometrics, medicine, language learning and music recognition. She received her BSc and PhD in computer science from the University of Reading, UK and MSc in Knowledge-Based Systems from Edinburgh University, UK. Dr. George has undertaken post-doctoral research at both the Department of Optometry and Vision Sciences, University of Wales and the School of Computer and Information Science (CIS), University of South Australia. Tab Content 6Author Website:Countries AvailableAll regions |