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Visual Perception of Music Notation: On-Line and Off-Line Recognition
 
 
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Visual Perception of Music Notation: On-Line and Off-Line Recognition [Hardcover]

Susan Ella George (Editor)

Price: $79.95 & this item ships for FREE with Super Saver Shipping. Details
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Book Description

March 22, 2005
Visual 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.

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About the Author

Susan E. George 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 Visi

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Inside This Book (learn more)
First Sentence:
This chapter describes the issues involved in the detection and removal of stavelines of musical scores. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
lyric recognition, music notation symbols, music notation format, optical music recognition system, music recognition systems, notation interchange file format, symbolic indexing, typesetting choices, standard music description language, notation recognition, syllable extension, handwritten music, lyric editor, horizontal symbols, common music notation, music information retrieval, staff detection, main score, performance directives, original bitmap image, music symbols, beamed notes, score recognition, superimposed objects, visualization rules
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Idea Group Inc, International Conference, The Handbook of Musical Codes, New York, Delivering of Music, Retrieved February, Stavelines Removed, Della Santa, Structured Document Image Analysis, The Virtual Score, Music Information Retrieval, Optical Character Recognition, San Jose, Startx Starty Endx Endy, University of Leeds, World Scientific, Aggregation Module, Computer-Human Interaction, George University of South Australia, Liszt Rhapsodies Hongroises, New Zealand, Oxford University Press, Transform Image, University of Florence, Cambridge University Press
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