Information Retrieval for Music and Motion (Google eBook)
A general scenario that has attracted a lot of attention for multimedia information retrieval is based on the query-by-example paradigm: retrieve all documents from a database containing parts or aspects similar to a given data fragment. However, multimedia objects, even though they are similar from a structural or semantic viewpoint, often reveal significant spatial or temporal differences. This makes content-based multimedia retrieval a challenging research field with many unsolved problems. Meinard Müller details concepts and algorithms for robust and efficient information retrieval by means of two different types of multimedia data: waveform-based music data and human motion data. In Part I, he discusses in depth several approaches in music information retrieval, in particular general strategies as well as efficient algorithms for music synchronization, audio matching, and audio structure analysis. He also shows how the analysis results can be used in an advanced audio player to facilitate additional retrieval and browsing functionality. In Part II, he introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization. The detailed chapters at the beginning of each part give consideration to the interdisciplinary character of this field, covering information science, digital signal processing, audio engineering, musicology, and computer graphics. This first monograph specializing in music and motion retrieval appeals to a wide audience, from students at the graduate level and lecturers to scientists working in the above mentioned fields in academia or industry. Lecturers and students will benefit from the didactic style, and each unit is suitable for stand-alone use in specialized graduate courses. Researchers will be interested in the detailed description of original research results and their application in real-world browsing and retrieval scenarios.
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Fundamentals on Music and Audio Data
Pitch and ChromaBased Audio Features
Dynamic Time Warping 69
Audio Structure Analysis
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Publications, Dr. Meinard Müller
Information Retrieval for Music and Motion Approx. 330 p., Hardcover ISBN: 978-3-540-74047-6 Due: September 18, 2007 ...
www.informatik.uni-bonn.de/ ~meinard/ publications.html
Hardcore Music Information Retrieval - Duke Listens!
Last week I caught a glimpse of the new book written by Meinard Müller, called Information Retrieval for Music and Motion. Meinard is a member of the ...
blogs.sun.com/ plamere/ entry/ hardcore_music_information_retrieval
Keith Price Bibliography Human Motion Understanding and Analysis
Müller, M.[Meinard], Information Retrieval for Music and Motion, Springer2007, ISBN: 978-3-540-74047-6 WWW Version. Multimedia objects using audio and human ...
www.visionbib.com/ bibliography/ motion-f729.html
Information Retrieval for Music and Motion - Information Storage ...
Information Retrieval for Music and Motion - Database Management & Info Retrieval. A general scenario that has attracted a lot of attention for multimedia ...
www.springer.com/ computer/ database+management+&
64 Information Retrieval for Music and Motion. 76 The Inorganic Radiochemistry of Heavy. Elements. 75 Inorganic Reactions in Water ...
18.104.22.168/ pdf/ Springer_News_SEPTEMBER_2007.pdf
Information Retrieval for Music and Motion (Kein Porto) - ebay ...
Vind Information Retrieval for Music and Motion (Kein Porto) in de Bücher ; Studium Wissen ; Informatik ; Sonstiges ; ; categorie op ebay.nl.
Full Catalog - Full View of Record
Information retrieval for music and motion / Meinard Müller. Published, New York : Springer, c2007. Description, xv, 313 p. : ill. (some col. ...
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