Intelligent Music Information Systems: Tools and Methodologies

Intelligent Music Information Systems: Tools and Methodologies

Jialie Shen, John Shepherd, Bin Cui, Ling Liu
Indexed In: SCOPUS View 1 More Indices
Release Date: August, 2007|Copyright: © 2008 |Pages: 380
DOI: 10.4018/978-1-59904-663-1
ISBN13: 9781599046631|ISBN10: 1599046636|EISBN13: 9781599046655
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Description & Coverage
Description:

Modern technology and the development of user-centric applications have grown to encompass many of our everyday routines and interests. Such advances in music data management and information retrieval techniques have crossed the boundaries of expertise from researchers to developers to professionals in the music industry.

Intelligent Music Information Systems: Tools and Methodologies provides comprehensive description and analysis into the use of music information retrieval from the data management perspective, and thus provides libraries in academic, commercial, and other settings with a complete reference for multimedia system applications.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Automated Music Identification and Recognition
  • Classification, Clustering and Information Visualisation
  • Music Archives, Digital Libraries and Collections
  • Music Content Representation/Summarization
  • Music Indexing (Mono- and Polyphonic Music)
  • Music Query Modeling and Metadata or Protocols for Music
  • Music Search and Web
  • Music Searching in P2P Environment
  • Music Similarity and Pattern Matching
  • Musical Feature Extraction/Construction
Reviews & Statements

The chapters in this book serve as the seeds of new concepts and research ideas invigorating the field.

– Jialie Shen, University of New South Wales, Australia
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Editor/Author Biographies
Jialie Shen is an assistant professor in the School of Information Systems at Singapore Management University. His research interests can be summarized as developing effective and efficient data analysis and retrieval techniques for novel data intensive applications. Particularly, he is currently interested in various techniques of multimedia data mining, multimedia information retrieval and database systems. His research results have been published in ACM SIGIR, ACM SIGMOD, and IEEE Transactions on Multimedia. He has served as a reviewer for a number of major journals and conferences such as SIGKDD, SIGMOD, ICDE, ICDM, IEEE TMM, IEEE TKDE, and ACM TOIS. He is also a member of ACM SIGMOD and SIGIR.
John Shepherd received his PhD in 1990 from the University of Melbourne. He is a senior lecturer at the School of Computer Science and Engineering, University of New South Wales, Sydney, Australia. His main research interests are query processing for both relational and nonrelational (e.g., multimedia) databases, information organization/retrieval and applications of information technology to teaching and learning. Dr. Shepherd has served on the program committees of conferences such as VLDB, WISE and DASFAAA.
Bin Cui is a professor in the Department of Computer Science, Peking University. He obtained his BSc from Xi'an Jiaotong University in 1996, and PhD from the National University of Singapore in 2004, respectively. From 2004 to 2006, he worked as a research fellow in Singapore-MIT Alliance. His current research interests cover various aspects of database management systems, including high performance query processing, indexing techniques, multi/high-dimensional databases, multimedia databases, location based services, time series databases, bioinformatics, etc., and he has published over 30 international journal and conference papers in these areas. Dr. Cui has served as a member of the technical program committee for international conferences including SIGMOD, VLDB, SIGIR, ICDE, etc.
Ling Liu is an associate professor in the College of Computing at Georgia Institute of Technology. There she directs the research programs in Distributed Data Intensive Systems Lab (DiSL), examining performance, security, privacy, and data management issues in building large scale distributed computing systems. Dr. Liu and the DiSL research group have been working on various aspects of distributed data intensive systems, ranging from decentralized overlay networks, mobile computing and location based services, sensor network and event stream processing, to service oriented computing and architectures. She has published over 200 international journal and conference articles in the areas of Internet computing systems, distributed systems, and information security. Her research group has produced a number of open source software systems, among which the most popular ones include WebCQ, XWRAPElite, PeerCrawl. She has chaired a number of conferences as a PC chair, vice PC chair, or a general chair, and the most recent ones include IEEE International Conference on Data Engineering (2006, 2007), IEEE International Conference on Distributed Computing (2006). Dr. Liu is currently on the editorial board of several international journals, including IEEE Transactions on Knowledge and Data Engineering and International Journal of Very Large Database systems (VLDBJ). Dr. Liu is the recipient of the best paper award of ICDCS 2003 and the best paper award of WWW 2004.
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