{"title":"红灯点灯:图像驱动的声音和节奏景观","authors":"P. Codognet, Gilbert Nouno","doi":"10.1145/1461912.1461926","DOIUrl":null,"url":null,"abstract":"Red Light Spotters is a multi-contextual interactive project which aims to create an open and real-time musical environment sharing relations with and extending a natural ambient landscape. It encompass artistic creation process embedding image tracking, artificial intelligence with inductive original tempo tracking and beat prediction algorithms. We end up with emergent rhythmic processing for ambiant musical creation, interpreted and performed by sound artists.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Red light spotters: images-driven sound and rhythm landscape\",\"authors\":\"P. Codognet, Gilbert Nouno\",\"doi\":\"10.1145/1461912.1461926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Red Light Spotters is a multi-contextual interactive project which aims to create an open and real-time musical environment sharing relations with and extending a natural ambient landscape. It encompass artistic creation process embedding image tracking, artificial intelligence with inductive original tempo tracking and beat prediction algorithms. We end up with emergent rhythmic processing for ambiant musical creation, interpreted and performed by sound artists.\",\"PeriodicalId\":130374,\"journal\":{\"name\":\"Semantic Ambient Media Experiences\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Semantic Ambient Media Experiences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1461912.1461926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Semantic Ambient Media Experiences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1461912.1461926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
Red Light Spotters是一个多语境互动项目,旨在创造一个开放和实时的音乐环境,与自然环境景观共享关系并扩展。它包括嵌入图像跟踪的艺术创作过程、具有感应原始节奏跟踪和节拍预测算法的人工智能。我们最终以即兴的节奏处理环境音乐创作,由声音艺术家解释和表演。
Red light spotters: images-driven sound and rhythm landscape
Red Light Spotters is a multi-contextual interactive project which aims to create an open and real-time musical environment sharing relations with and extending a natural ambient landscape. It encompass artistic creation process embedding image tracking, artificial intelligence with inductive original tempo tracking and beat prediction algorithms. We end up with emergent rhythmic processing for ambiant musical creation, interpreted and performed by sound artists.