Information Retrieval for Music and Motion

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.

This is the first monograph specializing in music and motion retrieval. It 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. Part I 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. Part II 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.

First monograph specializing in music and motion retrieval Details concepts and algorithms for robust and efficient information retrieval for waveform-based music data and human motion data Emphasizes the interdisciplinary character by combining elements from information science, digital signal processing, audio engineering, musicology, and computer graphics Highly didactic presentation which makes each part suitable for stand-alone use in specialized graduate courses Includes supplementary material: sn.pub/extras

Autorentext

Meinard Müller is a Member of the Multimedia Signal Processing Group, Bonn University, working as a Researcher and Assistant Lecturer. His research interests include digital signal processing, multimedia information retrieval, computational group theory, and combinatorics. His special research topics include audio signal processing, computational musicology, analysis of 3D motion capture data, and content-based retrieval in multimedia documents.

Inhalt
Analysis and Retrieval Techniques for Music Data.- Fundamentals on Music and Audio Data.- Pitch- and Chroma-Based Audio Features.- Dynamic Time Warping.- Music Synchronization.- Audio Matching.- Audio Structure Analysis.- SyncPlayer: An Advanced Audio Player.- Analysis and Retrieval Techniques for Motion Data.- Fundamentals on Motion Capture Data.- DTW-Based Motion Comparison and Retrieval.- Relational Features and Adaptive Segmentation.- Index-Based Motion Retrieval.- Motion Templates.- MT-Based Motion Annotation and Retrieval.