Information retrieval for music and motion /

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Bibliographic Details
Author / Creator:Müller, Meinard.
Imprint:New York : Springer, 2007.
Description:xv, 313 p. : ill. (some col.) ; 24 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/6810628
Hidden Bibliographic Details
ISBN:9783540740476
3540740473
Notes:Includes bibliographical references (p. [297]-308) and index.
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. 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."--BOOK JACKET.

MARC

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245 1 0 |a Information retrieval for music and motion /  |c Meinard Müller. 
260 |a New York :  |b Springer,  |c 2007. 
300 |a xv, 313 p. :  |b ill. (some col.) ;  |c 24 cm. 
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504 |a Includes bibliographical references (p. [297]-308) and index. 
505 0 |a 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. 
520 1 |a "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."--BOOK JACKET. 
650 0 |a Information storage and retrieval systems  |x Music. 
650 0 |a Multimedia systems.  |0 http://id.loc.gov/authorities/subjects/sh92002381 
650 0 |a Music  |x Data processing.  |0 http://id.loc.gov/authorities/subjects/sh85088783 
650 0 |a Human locomotion  |x Data processing. 
650 6 |a Systèmes d'information  |x Musique. 
650 6 |a Multimédia. 
650 6 |a Musique  |x Informatique. 
650 6 |a Locomotion humaine  |x Informatique. 
650 7 |a Human locomotion  |x Data processing.  |2 fast  |0 http://id.worldcat.org/fast/fst00963161 
650 7 |a Information storage and retrieval systems  |x Music.  |2 fast  |0 http://id.worldcat.org/fast/fst00972972 
650 7 |a Multimedia systems.  |2 fast  |0 http://id.worldcat.org/fast/fst01028920 
650 7 |a Music  |x Data processing.  |2 fast  |0 http://id.worldcat.org/fast/fst01030309 
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