logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Information Retrieval For Music And Motion Meinard Muller

  • SKU: BELL-4102972
Information Retrieval For Music And Motion Meinard Muller
$ 31.00 $ 45.00 (-31%)

4.8

94 reviews

Information Retrieval For Music And Motion Meinard Muller instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 21.04 MB
Pages: 319
Author: Meinard Müller
ISBN: 9783540740476, 9783540740483, 3540740473, 3540740481
Language: English
Year: 2007

Product desciption

Information Retrieval For Music And Motion Meinard Muller by Meinard Müller 9783540740476, 9783540740483, 3540740473, 3540740481 instant download after payment.

Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then 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.

Related Products