{"title":"运动和视差辅助立体全帧损失隐藏方法","authors":"Ç. Bilen, A. Aksay, G. Bozdagi Akar","doi":"10.1109/SIU.2007.4298790","DOIUrl":null,"url":null,"abstract":"Stereoscopic video is one of the emerging research areas especially among the video coding community. Along with the studies for efficiently compressing the stereoscopic and multiview video, new error concealment and error protection methods are also necessary to overcome the problems due to erroneous channel conditions in practical applications. In this paper we propose a full frame loss concealment algorithm for stereoscopic sequences. The proposed method uses redundancy and disparity between the two views and motion information between the previously decoded frames to estimate the lost frame. The results show that, the proposed algorithm outperforms the monoscopic methods when they are applied to the same view as they are simulcast coded.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Motion and Disparity Aided Stereoscopic Full Frame Loss Concealment Method\",\"authors\":\"Ç. Bilen, A. Aksay, G. Bozdagi Akar\",\"doi\":\"10.1109/SIU.2007.4298790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stereoscopic video is one of the emerging research areas especially among the video coding community. Along with the studies for efficiently compressing the stereoscopic and multiview video, new error concealment and error protection methods are also necessary to overcome the problems due to erroneous channel conditions in practical applications. In this paper we propose a full frame loss concealment algorithm for stereoscopic sequences. The proposed method uses redundancy and disparity between the two views and motion information between the previously decoded frames to estimate the lost frame. The results show that, the proposed algorithm outperforms the monoscopic methods when they are applied to the same view as they are simulcast coded.\",\"PeriodicalId\":315147,\"journal\":{\"name\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2007.4298790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 15th Signal Processing and Communications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2007.4298790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion and Disparity Aided Stereoscopic Full Frame Loss Concealment Method
Stereoscopic video is one of the emerging research areas especially among the video coding community. Along with the studies for efficiently compressing the stereoscopic and multiview video, new error concealment and error protection methods are also necessary to overcome the problems due to erroneous channel conditions in practical applications. In this paper we propose a full frame loss concealment algorithm for stereoscopic sequences. The proposed method uses redundancy and disparity between the two views and motion information between the previously decoded frames to estimate the lost frame. The results show that, the proposed algorithm outperforms the monoscopic methods when they are applied to the same view as they are simulcast coded.