M-MUSICS: an intelligent mobile music retrieval system
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rho, Seungmin | - |
dc.contributor.author | Hwang, Eenjun | - |
dc.contributor.author | Park, Jong Hyuk | - |
dc.date.accessioned | 2021-09-07T11:17:27Z | - |
dc.date.available | 2021-09-07T11:17:27Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2011-07 | - |
dc.identifier.issn | 0942-4962 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/112179 | - |
dc.description.abstract | Accurate voice humming transcription and efficient indexing and retrieval schemes are essential to a large-scale humming-based audio retrieval system. Although much research has been done to develop such schemes, their performance in terms of precision, recall, and F-measure, among all similarity metrics, are still unsatisfactory. In this paper, we propose a new voice query transcription scheme. It considers the following features: note onset detection using dynamic threshold methods, fundamental frequency (F0) acquisition of each frame, and frequency realignment using K-means. We use a popularity-adaptive indexing structure called frequently accessed index (FAI) based on frequently queried tunes for indexing purposes. In addition, we propose a semi-supervised relevance feedback and query reformulation scheme based on a genetic algorithm to improve retrieval efficiency. In this paper, we extend our efforts to mobile multimedia environments and develop a mobile audio retrieval system. Experiments show our system performs satisfactory in wireless mobile multimedia environments. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.subject | RELEVANCE FEEDBACK | - |
dc.subject | IMAGE RETRIEVAL | - |
dc.subject | SIMILARITY | - |
dc.title | M-MUSICS: an intelligent mobile music retrieval system | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Rho, Seungmin | - |
dc.contributor.affiliatedAuthor | Hwang, Eenjun | - |
dc.identifier.doi | 10.1007/s00530-010-0212-y | - |
dc.identifier.scopusid | 2-s2.0-79960073733 | - |
dc.identifier.wosid | 000291061300005 | - |
dc.identifier.bibliographicCitation | MULTIMEDIA SYSTEMS, v.17, no.4, pp.313 - 326 | - |
dc.relation.isPartOf | MULTIMEDIA SYSTEMS | - |
dc.citation.title | MULTIMEDIA SYSTEMS | - |
dc.citation.volume | 17 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 313 | - |
dc.citation.endPage | 326 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | RELEVANCE FEEDBACK | - |
dc.subject.keywordPlus | IMAGE RETRIEVAL | - |
dc.subject.keywordPlus | SIMILARITY | - |
dc.subject.keywordAuthor | Content-based audio retrieval | - |
dc.subject.keywordAuthor | Mobile platform | - |
dc.subject.keywordAuthor | Relevance feedback | - |
dc.subject.keywordAuthor | Signal processing | - |
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