{"title":"快速音乐检索的流行度自适应索引方案","authors":"Dongmoon Park, Eenjun Hwang","doi":"10.1109/ICME.2002.1035733","DOIUrl":null,"url":null,"abstract":"Proliferation of audio databases on the WWW (World Wide Web) necessitates an audio retrieval system to find certain audio content within the audio corpus. Many papers have presented concepts, methodologies and systems to offer users ways to retrieve melody from collections of music contents. In this paper, we present a new index scheme to retrieve music based on the accumulated data of previous user queries to music. We first describe the current status of existing music information retrieval systems, and then present the design and implementation of our prototype system. We report the results obtained from an empirical evaluation of our approach.","PeriodicalId":90694,"journal":{"name":"Proceedings. IEEE International Conference on Multimedia and Expo","volume":"1 1","pages":"121-124 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Popularity-adaptive index scheme for fast music retrieval\",\"authors\":\"Dongmoon Park, Eenjun Hwang\",\"doi\":\"10.1109/ICME.2002.1035733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proliferation of audio databases on the WWW (World Wide Web) necessitates an audio retrieval system to find certain audio content within the audio corpus. Many papers have presented concepts, methodologies and systems to offer users ways to retrieve melody from collections of music contents. In this paper, we present a new index scheme to retrieve music based on the accumulated data of previous user queries to music. We first describe the current status of existing music information retrieval systems, and then present the design and implementation of our prototype system. We report the results obtained from an empirical evaluation of our approach.\",\"PeriodicalId\":90694,\"journal\":{\"name\":\"Proceedings. IEEE International Conference on Multimedia and Expo\",\"volume\":\"1 1\",\"pages\":\"121-124 vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE International Conference on Multimedia and Expo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2002.1035733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE International Conference on Multimedia and Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2002.1035733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Popularity-adaptive index scheme for fast music retrieval
Proliferation of audio databases on the WWW (World Wide Web) necessitates an audio retrieval system to find certain audio content within the audio corpus. Many papers have presented concepts, methodologies and systems to offer users ways to retrieve melody from collections of music contents. In this paper, we present a new index scheme to retrieve music based on the accumulated data of previous user queries to music. We first describe the current status of existing music information retrieval systems, and then present the design and implementation of our prototype system. We report the results obtained from an empirical evaluation of our approach.