{"title":"无损视频编码的中值边缘检测器:一种有效的无损视频编码预测方案","authors":"Mahima Agrawal, R. Choudhary","doi":"10.1145/2979779.2979819","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel non-linear prediction based method for lossless video coding. This method exploits gradient energies to perform pixel by pixel prediction. A feedback mechanism based on prediction context is also proposed, which prevents the non-linear predictor from over adjusting its predicted value. To exploit the redundancies present in the residues, a context based residue coding scheme is devised. This scheme efficiently predicts sign and magnitude of the residue. Besides computational simplicity of the proposed method, experimental results show lower value of zero order entropy as compared to the competitive algorithms reported in the literature.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Median Edge Detector for Lossless Video Coding: An efficient prediction scheme for lossless video coding\",\"authors\":\"Mahima Agrawal, R. Choudhary\",\"doi\":\"10.1145/2979779.2979819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a novel non-linear prediction based method for lossless video coding. This method exploits gradient energies to perform pixel by pixel prediction. A feedback mechanism based on prediction context is also proposed, which prevents the non-linear predictor from over adjusting its predicted value. To exploit the redundancies present in the residues, a context based residue coding scheme is devised. This scheme efficiently predicts sign and magnitude of the residue. Besides computational simplicity of the proposed method, experimental results show lower value of zero order entropy as compared to the competitive algorithms reported in the literature.\",\"PeriodicalId\":298730,\"journal\":{\"name\":\"Proceedings of the International Conference on Advances in Information Communication Technology & Computing\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Advances in Information Communication Technology & Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2979779.2979819\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2979779.2979819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Median Edge Detector for Lossless Video Coding: An efficient prediction scheme for lossless video coding
In this paper, we propose a novel non-linear prediction based method for lossless video coding. This method exploits gradient energies to perform pixel by pixel prediction. A feedback mechanism based on prediction context is also proposed, which prevents the non-linear predictor from over adjusting its predicted value. To exploit the redundancies present in the residues, a context based residue coding scheme is devised. This scheme efficiently predicts sign and magnitude of the residue. Besides computational simplicity of the proposed method, experimental results show lower value of zero order entropy as compared to the competitive algorithms reported in the literature.