M. Y. Saraiji, Shota Sugimoto, C. Fernando, K. Minamizawa, S. Tachi
{"title":"分层远程呈现:使用基于眼睛注视的感知意识混合的同时多重呈现体验","authors":"M. Y. Saraiji, Shota Sugimoto, C. Fernando, K. Minamizawa, S. Tachi","doi":"10.1145/2945078.2945098","DOIUrl":null,"url":null,"abstract":"We propose \"Layered Telepresence\", a novel method of experiencing simultaneous multi-presence. Users eye gaze and perceptual awareness are blended with real-time audio-visual information received from multiple telepresence robots. The system arranges audio-visual information received through multiple robots into a priority-driven layered stack. A weighted feature map was created based on the objects recognized for each layer, using image-processing techniques, and pushes the most weighted layer around the users gaze in to the foreground. All other layers are pushed back to the background providing an artificial depth-of-field effect. The proposed method not only works with robots, but also each layer could represent any audio-visual content, such as video see-through HMD, television screen or even your PC screen enabling true multitasking.","PeriodicalId":417667,"journal":{"name":"ACM SIGGRAPH 2016 Posters","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Layered telepresence: simultaneous multi presence experience using eye gaze based perceptual awareness blending\",\"authors\":\"M. Y. Saraiji, Shota Sugimoto, C. Fernando, K. Minamizawa, S. Tachi\",\"doi\":\"10.1145/2945078.2945098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose \\\"Layered Telepresence\\\", a novel method of experiencing simultaneous multi-presence. Users eye gaze and perceptual awareness are blended with real-time audio-visual information received from multiple telepresence robots. The system arranges audio-visual information received through multiple robots into a priority-driven layered stack. A weighted feature map was created based on the objects recognized for each layer, using image-processing techniques, and pushes the most weighted layer around the users gaze in to the foreground. All other layers are pushed back to the background providing an artificial depth-of-field effect. The proposed method not only works with robots, but also each layer could represent any audio-visual content, such as video see-through HMD, television screen or even your PC screen enabling true multitasking.\",\"PeriodicalId\":417667,\"journal\":{\"name\":\"ACM SIGGRAPH 2016 Posters\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2016 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2945078.2945098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2016 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2945078.2945098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Layered telepresence: simultaneous multi presence experience using eye gaze based perceptual awareness blending
We propose "Layered Telepresence", a novel method of experiencing simultaneous multi-presence. Users eye gaze and perceptual awareness are blended with real-time audio-visual information received from multiple telepresence robots. The system arranges audio-visual information received through multiple robots into a priority-driven layered stack. A weighted feature map was created based on the objects recognized for each layer, using image-processing techniques, and pushes the most weighted layer around the users gaze in to the foreground. All other layers are pushed back to the background providing an artificial depth-of-field effect. The proposed method not only works with robots, but also each layer could represent any audio-visual content, such as video see-through HMD, television screen or even your PC screen enabling true multitasking.