{"title":"基于运动矢量估计的全帧损失误差隐藏","authors":"Bin Liao, Jinlong Hu, Minghui Du","doi":"10.1109/ICACTE.2010.5579825","DOIUrl":null,"url":null,"abstract":"Losing a packet will cause losing a whole frame in high compression and high payload video communication such as wireless low bit rate video transmission. In this paper, we present a novel technique which can deal with the problem of error concealment for whole frame losses. The proposed technique exploits objects motion information from video by combining gray and color optical flow methods to reconstruct lost images. After recovering main body of the lost frame, the MRF model is applied to deal with the overlap and occlusion caused by objects movements. Results show that the proposed technique provides good subject and object image quality and has a low complexity which make it can be used on real time operation.","PeriodicalId":255806,"journal":{"name":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Error concealment for whole frame losses based on motion vectors estimation\",\"authors\":\"Bin Liao, Jinlong Hu, Minghui Du\",\"doi\":\"10.1109/ICACTE.2010.5579825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Losing a packet will cause losing a whole frame in high compression and high payload video communication such as wireless low bit rate video transmission. In this paper, we present a novel technique which can deal with the problem of error concealment for whole frame losses. The proposed technique exploits objects motion information from video by combining gray and color optical flow methods to reconstruct lost images. After recovering main body of the lost frame, the MRF model is applied to deal with the overlap and occlusion caused by objects movements. Results show that the proposed technique provides good subject and object image quality and has a low complexity which make it can be used on real time operation.\",\"PeriodicalId\":255806,\"journal\":{\"name\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACTE.2010.5579825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACTE.2010.5579825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Error concealment for whole frame losses based on motion vectors estimation
Losing a packet will cause losing a whole frame in high compression and high payload video communication such as wireless low bit rate video transmission. In this paper, we present a novel technique which can deal with the problem of error concealment for whole frame losses. The proposed technique exploits objects motion information from video by combining gray and color optical flow methods to reconstruct lost images. After recovering main body of the lost frame, the MRF model is applied to deal with the overlap and occlusion caused by objects movements. Results show that the proposed technique provides good subject and object image quality and has a low complexity which make it can be used on real time operation.