{"title":"一种新的优化的QFHD视频FME硬件结构","authors":"H. Qian, S. Goto","doi":"10.1109/CSPA.2011.5759860","DOIUrl":null,"url":null,"abstract":"Motion Estimation is the most complex part in H.264 encoder which takes more than 90% time in baseline profile while making test encoding using JM15.1. In the motion estimation stage, macro block cost calculation is very important for motion vector prediction and bit stream estimation. As a new characteristic introduced in H.264, Fractional ME is an essential part for improving encoder efficiency. In this paper we tried to promote another order of progress structure, and based on the rearranged structure stages we analyzed the MB cost data. Taking the mathematical characteristics of cost distribution while calculating SATD, we can make an idea of how to reduce the complexity. Thus, further reduction of hardware cost can be estimated.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new optimized FME hardware structure for QFHD video\",\"authors\":\"H. Qian, S. Goto\",\"doi\":\"10.1109/CSPA.2011.5759860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion Estimation is the most complex part in H.264 encoder which takes more than 90% time in baseline profile while making test encoding using JM15.1. In the motion estimation stage, macro block cost calculation is very important for motion vector prediction and bit stream estimation. As a new characteristic introduced in H.264, Fractional ME is an essential part for improving encoder efficiency. In this paper we tried to promote another order of progress structure, and based on the rearranged structure stages we analyzed the MB cost data. Taking the mathematical characteristics of cost distribution while calculating SATD, we can make an idea of how to reduce the complexity. Thus, further reduction of hardware cost can be estimated.\",\"PeriodicalId\":282179,\"journal\":{\"name\":\"2011 IEEE 7th International Colloquium on Signal Processing and its Applications\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 7th International Colloquium on Signal Processing and its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSPA.2011.5759860\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2011.5759860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new optimized FME hardware structure for QFHD video
Motion Estimation is the most complex part in H.264 encoder which takes more than 90% time in baseline profile while making test encoding using JM15.1. In the motion estimation stage, macro block cost calculation is very important for motion vector prediction and bit stream estimation. As a new characteristic introduced in H.264, Fractional ME is an essential part for improving encoder efficiency. In this paper we tried to promote another order of progress structure, and based on the rearranged structure stages we analyzed the MB cost data. Taking the mathematical characteristics of cost distribution while calculating SATD, we can make an idea of how to reduce the complexity. Thus, further reduction of hardware cost can be estimated.