caa a22 4500 605447853 CHVBK 20210128100134.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1860-2 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1860-2 Designing a graph-based framework to support a multi-modal approach for music information retrieval [Elektronische Daten] [Jia-Lien Hsu, Chien-Chang Huang] In this paper, we propose a graph-based framework to organize low-level and high-level features of music objects in a unified way. The featured graph, called the power graph, is associated with operators to support a variety of music information retrieval applications, such as auto-tagging, link analysis, similarity measurement, and clustering. Among these operators, we have identified the node ranking by computing prestige value as one of the essential fundamental link analysis operators. For this particular operator, we propose two methods of computing prestige; they are the power method and the algebraic method. Although the algebraic method is originated from the symmetric graph, the algebraic method can be applied as an approximate but efficient alternative to the power method. To demonstrate the feasibility of our framework, we have carried out an auto-tagging experiment and a music object clustering experiment. According to the auto-tagging experimental results, we have observed that the algebraic method has achieved almost the same results as the power method with only a one-fifth elapsed time. In the experiments we have conducted, we have achieved accuracy levels up to 75%. Springer Science+Business Media New York, 2014 Music information retrieval nationallicence Multi-modal approach nationallicence Hsu Jia-Lien Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan, Republic of China aut Huang Chien-Chang Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan, Republic of China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5401-5427 1380-7501 74:15<5401 2015 74 11042 https://doi.org/10.1007/s11042-014-1860-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1860-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hsu Jia-Lien Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan, Republic of China aut NATIONALLICENCE 700 1- Huang Chien-Chang Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan, Republic of China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5401-5427 1380-7501 74:15<5401 2015 74 11042