{"title":"多参考帧运动估计的通用搜索策略","authors":"Chun-Su Park","doi":"10.1109/ICCE.2013.6486913","DOIUrl":null,"url":null,"abstract":"Multiple reference frame motion estimation (MRFME) is one of main features of recent video coding standards such as H.264/AVC and HEVC. In this paper, we present a general search strategy for MRFME. The proposed method can accelerate the conventional full search algorithms without any penalty in the rate-distortion (RD) performance. Experimental results show that the proposed method can reduce the motion estimation (ME) time of the conventional algorithms up to 39.48%.","PeriodicalId":6432,"journal":{"name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","volume":"29 1","pages":"326-327"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A general search strategy for multiple reference frame motion estimation\",\"authors\":\"Chun-Su Park\",\"doi\":\"10.1109/ICCE.2013.6486913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple reference frame motion estimation (MRFME) is one of main features of recent video coding standards such as H.264/AVC and HEVC. In this paper, we present a general search strategy for MRFME. The proposed method can accelerate the conventional full search algorithms without any penalty in the rate-distortion (RD) performance. Experimental results show that the proposed method can reduce the motion estimation (ME) time of the conventional algorithms up to 39.48%.\",\"PeriodicalId\":6432,\"journal\":{\"name\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"29 1\",\"pages\":\"326-327\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2013.6486913\",\"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 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2013.6486913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A general search strategy for multiple reference frame motion estimation
Multiple reference frame motion estimation (MRFME) is one of main features of recent video coding standards such as H.264/AVC and HEVC. In this paper, we present a general search strategy for MRFME. The proposed method can accelerate the conventional full search algorithms without any penalty in the rate-distortion (RD) performance. Experimental results show that the proposed method can reduce the motion estimation (ME) time of the conventional algorithms up to 39.48%.