{"title":"基于六边形的运动估计算法硬件实现的高效FPGA架构","authors":"M. Muzammil, I. Ali, M. Sharif, K. A. Khalil","doi":"10.1109/ICCE-TW.2015.7216977","DOIUrl":null,"url":null,"abstract":"Motion Estimation (ME) is the most critical and complex part of any video codec system. The different algorithms and their architectures are proposed for ME process. In this paper, we have proposed an efficient architecture for Hexagon Based Search (HexBS) algorithm and implemented on XC4VSX25 Virtex4 FPGA. Simulation results show that the proposed architecture is capable of calculating the Motion Vectors (MVs) of 1280×720 High Definition (HD) videos with the best case throughput of 70 frames/sec. Moreover, the power and frequency requirements are 215mW and 127.27 MHz respectively for the proposed architecture with minimum hardware resources. Hence the proposed architecture is suitable for the real-time HD video applications.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An efficient FPGA architecture for hardware realization of hexagonal based motion estimation algorithm\",\"authors\":\"M. Muzammil, I. Ali, M. Sharif, K. A. Khalil\",\"doi\":\"10.1109/ICCE-TW.2015.7216977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion Estimation (ME) is the most critical and complex part of any video codec system. The different algorithms and their architectures are proposed for ME process. In this paper, we have proposed an efficient architecture for Hexagon Based Search (HexBS) algorithm and implemented on XC4VSX25 Virtex4 FPGA. Simulation results show that the proposed architecture is capable of calculating the Motion Vectors (MVs) of 1280×720 High Definition (HD) videos with the best case throughput of 70 frames/sec. Moreover, the power and frequency requirements are 215mW and 127.27 MHz respectively for the proposed architecture with minimum hardware resources. Hence the proposed architecture is suitable for the real-time HD video applications.\",\"PeriodicalId\":340402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2015.7216977\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2015.7216977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
运动估计是视频编解码系统中最关键、最复杂的部分。针对ME过程提出了不同的算法及其体系结构。本文提出了一种高效的Hexagon Based Search (HexBS)算法架构,并在XC4VSX25 Virtex4 FPGA上实现。仿真结果表明,该架构能够计算1280×720高清视频的运动矢量(mv),最佳吞吐量为70帧/秒。在硬件资源最少的情况下,该架构的功耗和频率要求分别为215mW和127.27 MHz。因此,所提出的体系结构适用于实时高清视频应用。
An efficient FPGA architecture for hardware realization of hexagonal based motion estimation algorithm
Motion Estimation (ME) is the most critical and complex part of any video codec system. The different algorithms and their architectures are proposed for ME process. In this paper, we have proposed an efficient architecture for Hexagon Based Search (HexBS) algorithm and implemented on XC4VSX25 Virtex4 FPGA. Simulation results show that the proposed architecture is capable of calculating the Motion Vectors (MVs) of 1280×720 High Definition (HD) videos with the best case throughput of 70 frames/sec. Moreover, the power and frequency requirements are 215mW and 127.27 MHz respectively for the proposed architecture with minimum hardware resources. Hence the proposed architecture is suitable for the real-time HD video applications.