EMIF: Towards a scalable and effective indexing framework for large scale music retrieval

• Main Authors: SHEN, Jialie, MEI, Tao, TAO, Dacheng, LI, Xuelong, RUI, Yong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Content based music retrieval; Indexing structure; Retrieval; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3545; https://ink.library.smu.edu.sg/context/sis_research/article/4546/viewcontent/EMIF_shen_2015.pdf
• Institution: Singapore Management University

This article presents a novel indexing framework called EMIF (Effective Music Indexing Framework) to facilitate scalable and accurate content based music retrieval. EMIF system architecture is designed based on a "classification-and-indexing" principle and consists of two main functionality layers: 1) a novel semantic-sensitive classification to identify input music's category and 2) multiple indexing structures - one local indexing structure corresponds to one semantic category. EMIF's layered architecture not only enables superior search accuracy but also reduces query response time significantly. To evaluate the system, a set of comprehensive experimental studies have been carried out using large test collection and EMIF demonstrates promising performance over state-of-theart approaches.