Using MPEG-7 audio descriptors for music querying

M. Gruhne; C. Dittmar

doi:10.1117/12.696723

24 August 2006 Using MPEG-7 audio descriptors for music querying

M. Gruhne, C. Dittmar

Proceedings Volume 6312, Applications of Digital Image Processing XXIX; 631210 (2006) https://doi.org/10.1117/12.696723
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Due to the growing amount of digital audio an increasing need to automatically categorize music and to create self-controlled and suitable playlists has been emerged. A few approaches to this task relying on low-level features have been published so far. Unfortunately the results utilizing those technologies are not sufficient yet. This paper gives an introduction how to enhance the results with regard to the perceptual similarity using different high-level descriptors and a powerful interaction between the algorithm and the user to consider his preferences. A successful interaction between server and client requires a powerful standardized query language. This paper describes the tools of the MPEG-7 Audio standard in detail and gives examples of already established query languages. Furthermore the requirements of a multimedia query language are identified and its application is exemplified by an automatic audio creation system using a query language.

Citation Download Citation

M. Gruhne and C. Dittmar "Using MPEG-7 audio descriptors for music querying", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631210 (24 August 2006); https://doi.org/10.1117/12.696723

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available