{"title":"为基于内容的检索生成mpeg7音频描述符","authors":"M. Karpaka Murthy, S. Seetha, F. Pádua","doi":"10.1109/RAICS.2011.6069356","DOIUrl":null,"url":null,"abstract":"The problem of classification of continuous general data for content based retrieval and describe the scheme that able to classify the audio segments based on the MPEG-7 audio descriptors and description schemes that consist of tools for indexing audio media using probabilistic sound models. The descriptors provide containers for category labels as well as data structures for quantitative information about sound content. We describe the normative tools as well as informative methods for automatic description extraction.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Generating MPEG 7 audio descriptor for content-based retrieval\",\"authors\":\"M. Karpaka Murthy, S. Seetha, F. Pádua\",\"doi\":\"10.1109/RAICS.2011.6069356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of classification of continuous general data for content based retrieval and describe the scheme that able to classify the audio segments based on the MPEG-7 audio descriptors and description schemes that consist of tools for indexing audio media using probabilistic sound models. The descriptors provide containers for category labels as well as data structures for quantitative information about sound content. We describe the normative tools as well as informative methods for automatic description extraction.\",\"PeriodicalId\":394515,\"journal\":{\"name\":\"2011 IEEE Recent Advances in Intelligent Computational Systems\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Recent Advances in Intelligent Computational Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAICS.2011.6069356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Recent Advances in Intelligent Computational Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAICS.2011.6069356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generating MPEG 7 audio descriptor for content-based retrieval
The problem of classification of continuous general data for content based retrieval and describe the scheme that able to classify the audio segments based on the MPEG-7 audio descriptors and description schemes that consist of tools for indexing audio media using probabilistic sound models. The descriptors provide containers for category labels as well as data structures for quantitative information about sound content. We describe the normative tools as well as informative methods for automatic description extraction.