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Information retrieval for music and motion

Author: Meinard Müller
Publisher: New York : Springer, 2007.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Meinard Muller 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.  Read more...
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Genre/Form: Music
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Meinard Müller
ISBN: 9783540740476 3540740473
OCLC Number: 172976996
Description: xv, 313 pages : illustrations (some color) ; 24 cm
Contents: Introduction --
Fundamentals on music and audio data --
DTW-Based motion comparison and retrieval --
Relational features and adaptive segmentation --
Index-based motion retrieval --
Motion templates --
MT-Based motion annotation and retrieval.
Responsibility: Meinard Müller.
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Abstract:

This monograph 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.  Read more...

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"Modern information society is experiencing an explosion of digital content, comprising text, speech, video and graphics. The challenge is to organize, understand, and search multimodal information Read more...

 
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    schema:reviewBody ""Meinard Muller 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."--Jacket." ;
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