{"title":"一种硬件友好的基于自适应加权模型的分数像素运动估计算法","authors":"Emad Badry, A. Shalaby, M. Sayed","doi":"10.1109/ICM.2017.8268854","DOIUrl":null,"url":null,"abstract":"In this paper, a new interpolation-free algorithm for fractional pixel motion estimation (FME) is proposed based on the statistical analysis of the matching error surface around the integer-pixel motion vector location. Performance analysis shows that 96% saving can be achieved for FME computation cost at the expense of only 2.2% BD-rate increment. The proposed algorithm was prototyped using Verilog and synthesized targeting 65nm CMOS technology. The design achieves a maximum frequency of 602 MHz and a high throughput where it can process 71 fps for FQHD (3840×2160) videos. It has only 26.6 kgates and power consumption of 18.6 mW.","PeriodicalId":115975,"journal":{"name":"2017 29th International Conference on Microelectronics (ICM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A hardware friendly fractional-pixel motion estimation algorithm based on adaptive weighted model\",\"authors\":\"Emad Badry, A. Shalaby, M. Sayed\",\"doi\":\"10.1109/ICM.2017.8268854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new interpolation-free algorithm for fractional pixel motion estimation (FME) is proposed based on the statistical analysis of the matching error surface around the integer-pixel motion vector location. Performance analysis shows that 96% saving can be achieved for FME computation cost at the expense of only 2.2% BD-rate increment. The proposed algorithm was prototyped using Verilog and synthesized targeting 65nm CMOS technology. The design achieves a maximum frequency of 602 MHz and a high throughput where it can process 71 fps for FQHD (3840×2160) videos. It has only 26.6 kgates and power consumption of 18.6 mW.\",\"PeriodicalId\":115975,\"journal\":{\"name\":\"2017 29th International Conference on Microelectronics (ICM)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 29th International Conference on Microelectronics (ICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM.2017.8268854\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM.2017.8268854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hardware friendly fractional-pixel motion estimation algorithm based on adaptive weighted model
In this paper, a new interpolation-free algorithm for fractional pixel motion estimation (FME) is proposed based on the statistical analysis of the matching error surface around the integer-pixel motion vector location. Performance analysis shows that 96% saving can be achieved for FME computation cost at the expense of only 2.2% BD-rate increment. The proposed algorithm was prototyped using Verilog and synthesized targeting 65nm CMOS technology. The design achieves a maximum frequency of 602 MHz and a high throughput where it can process 71 fps for FQHD (3840×2160) videos. It has only 26.6 kgates and power consumption of 18.6 mW.