{"title":"一种音乐视频自动摘要的新方法","authors":"Xi Shao, Changsheng Xu, M. Kankanhalli","doi":"10.1109/ICIP.2004.1418832","DOIUrl":null,"url":null,"abstract":"A new automatic summarization approach for music videos is presented. The proposed method detects and recognizes lyric captions appearing commonly in karaoke music videos and uses the captions to analyze music video structure and identify the most salient music part. The music video summary is created based on the salient part. Experimental results show our proposed method is promising.","PeriodicalId":184798,"journal":{"name":"2004 International Conference on Image Processing, 2004. ICIP '04.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A new approach to automatic music video summarization\",\"authors\":\"Xi Shao, Changsheng Xu, M. Kankanhalli\",\"doi\":\"10.1109/ICIP.2004.1418832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new automatic summarization approach for music videos is presented. The proposed method detects and recognizes lyric captions appearing commonly in karaoke music videos and uses the captions to analyze music video structure and identify the most salient music part. The music video summary is created based on the salient part. Experimental results show our proposed method is promising.\",\"PeriodicalId\":184798,\"journal\":{\"name\":\"2004 International Conference on Image Processing, 2004. ICIP '04.\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 International Conference on Image Processing, 2004. ICIP '04.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2004.1418832\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 International Conference on Image Processing, 2004. ICIP '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2004.1418832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach to automatic music video summarization
A new automatic summarization approach for music videos is presented. The proposed method detects and recognizes lyric captions appearing commonly in karaoke music videos and uses the captions to analyze music video structure and identify the most salient music part. The music video summary is created based on the salient part. Experimental results show our proposed method is promising.