EMIF: Towards a Scalable and Effective Indexing Framework for Large Scale Music Retrieval
文献类型:会议论文
作者 | Shen, Jialie1; Mei, Tao2; Tao, Dacheng3; Li, Xuelong4; Rui, Yong2 |
出版日期 | 2015 |
会议名称 | 5th acm international conference on multimedia retrieval (icmr) |
会议日期 | 2015-06-23 |
会议地点 | shanghai, peoples r china |
关键词 | Content based Music Retrieval Indexing Structure Retrieval |
页码 | 543-546 |
通讯作者 | shen, jl (reprint author), singapore management univ, singapore, singapore. |
英文摘要 | 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-the art approaches. |
收录类别 | ISTP |
产权排序 | 4 |
会议录 | icmr'15: proceedings of the 2015 acm international conference on multimedia retrieval
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会议录出版者 | assoc computing machinery |
学科主题 | computer science, artificial intelligence ; computer science, information systems ; imaging science & photographic technology |
会议录出版地 | new york |
语种 | 英语 |
ISBN号 | 978-1-4503-3274-3 |
源URL | [http://ir.opt.ac.cn/handle/181661/28496] ![]() |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Singapore Management Univ, Singapore, Singapore 2.Microsoft Res Asia, Beijing, Peoples R China 3.Univ Technol, Sydney, NSW, Australia 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Peoples R China |
推荐引用方式 GB/T 7714 | Shen, Jialie,Mei, Tao,Tao, Dacheng,et al. EMIF: Towards a Scalable and Effective Indexing Framework for Large Scale Music Retrieval[C]. 见:5th acm international conference on multimedia retrieval (icmr). shanghai, peoples r china. 2015-06-23. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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