Effective content-based music retrieval with pattern-based relevance feedback

Ja Hwung Su, Tzu Shiang Hung, Chun Jen Lee, Chung Li Lu, Wei Lun Chang, Vincent Shin-Mu Tseng*

*此作品的通信作者

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

To retrieve the preferred music piece from a music database, contentbased music retrieval has been studied for several years. However, it is not easy to retrieve the desired music pieces within only one query process. It motivates us to propose a novel query refinement technique called PBRF (Pattern-based Relevance Feedback) to predict the user's preference on music via a series of feedbacks, which combines three kinds of query refinement strategies, namely QPM (Query Point Movement), QR (Query Reweighting) and QEX (Query Expansion). In this work, each music piece is transformed into a pattern string, and the related discriminability and representability of each pattern can be calculated then. According to the information of discriminability and representability calculated, the user's preference on music can be retrieved by matching patterns of music pieces in the music database with those of a query music piece. In addition, with considering the local-optimal problem, extensive and intensive search methods based on user's feedbacks are proposed to approximate the successful search. Through the integration of QPM, QR, QEX and switch-based search strategies, the user's intention can be captured more effectively. The experimental results reveal that our proposed approach performs better than existing methods in terms of effectiveness.

原文American English
主出版物標題Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings
頁面285-295
頁數11
版本PART 2
DOIs
出版狀態Published - 9月 2011
事件15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern, Germany
持續時間: 12 9月 201114 9月 2011

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
6882 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
國家/地區Germany
城市Kaiserslautern
期間12/09/1114/09/11

指紋

深入研究「Effective content-based music retrieval with pattern-based relevance feedback」主題。共同形成了獨特的指紋。

引用此