{"title":"HEVC中一种快速粗糙模式判定方法","authors":"Manoj Alwani, S. Johar","doi":"10.1109/DCC.2013.58","DOIUrl":null,"url":null,"abstract":"In this paper we propose a fast candidate selection method in RMD step of Intra prediction. The proposed method consist of two steps, in the first step, coarser steps between the prediction directions are used as possible candidates for comparison, where the coarser step size is a function of Prediction Unit size. This way we find the dominant direction with minimum cost. In the second step, the dominant direction is refined by checking the prediction directions around the dominant direction to find the best match.","PeriodicalId":388717,"journal":{"name":"2013 Data Compression Conference","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A Method for Fast Rough Mode Decision in HEVC\",\"authors\":\"Manoj Alwani, S. Johar\",\"doi\":\"10.1109/DCC.2013.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a fast candidate selection method in RMD step of Intra prediction. The proposed method consist of two steps, in the first step, coarser steps between the prediction directions are used as possible candidates for comparison, where the coarser step size is a function of Prediction Unit size. This way we find the dominant direction with minimum cost. In the second step, the dominant direction is refined by checking the prediction directions around the dominant direction to find the best match.\",\"PeriodicalId\":388717,\"journal\":{\"name\":\"2013 Data Compression Conference\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2013.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2013.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we propose a fast candidate selection method in RMD step of Intra prediction. The proposed method consist of two steps, in the first step, coarser steps between the prediction directions are used as possible candidates for comparison, where the coarser step size is a function of Prediction Unit size. This way we find the dominant direction with minimum cost. In the second step, the dominant direction is refined by checking the prediction directions around the dominant direction to find the best match.