{"title":"位反转灰度编码位平面匹配低复杂度运动估计","authors":"Changryoul Choi, Jechang Jeong","doi":"10.5220/0005323902300234","DOIUrl":null,"url":null,"abstract":"In this paper, a bit-inverted Gray coded bit-plane matching algorithm is proposed for low complexity motion estimation. Unlike the typical Gray coded bit-plane matching algorithms, the proposed algorithm uses bit-inverted Gray codes for transforming image frames and a corresponding extended matching criterion to enhance the motion estimation accuracy. Experimental results show that the proposed algorithm outperforms other bit-plane matching based motion estimation algorithms while preserving the binary matching characteristic.","PeriodicalId":345016,"journal":{"name":"2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Bit-inverted Gray coded bit-plane matching for low complexity motion estimation\",\"authors\":\"Changryoul Choi, Jechang Jeong\",\"doi\":\"10.5220/0005323902300234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a bit-inverted Gray coded bit-plane matching algorithm is proposed for low complexity motion estimation. Unlike the typical Gray coded bit-plane matching algorithms, the proposed algorithm uses bit-inverted Gray codes for transforming image frames and a corresponding extended matching criterion to enhance the motion estimation accuracy. Experimental results show that the proposed algorithm outperforms other bit-plane matching based motion estimation algorithms while preserving the binary matching characteristic.\",\"PeriodicalId\":345016,\"journal\":{\"name\":\"2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0005323902300234\",\"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 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005323902300234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bit-inverted Gray coded bit-plane matching for low complexity motion estimation
In this paper, a bit-inverted Gray coded bit-plane matching algorithm is proposed for low complexity motion estimation. Unlike the typical Gray coded bit-plane matching algorithms, the proposed algorithm uses bit-inverted Gray codes for transforming image frames and a corresponding extended matching criterion to enhance the motion estimation accuracy. Experimental results show that the proposed algorithm outperforms other bit-plane matching based motion estimation algorithms while preserving the binary matching characteristic.
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