Ryota Bnadou, M. Hiramori, S. Iwade, H. Makino, Tutomu Yoshimura, Y. Matsuda
{"title":"运动图像的运动估计算法研究","authors":"Ryota Bnadou, M. Hiramori, S. Iwade, H. Makino, Tutomu Yoshimura, Y. Matsuda","doi":"10.1109/GCCE.2016.7800439","DOIUrl":null,"url":null,"abstract":"In this paper, the operation cycle for Motion Vector Search is evaluated between the proposed search method and the conventional Full Search algorithm. As a result, the operation cycle of the proposed method is 74% smaller than Full Search algorithm but the circuit size is 0.8% larger than that of Full Search algorithm and the vector matching accuracy of the proposed search method deteriorate to 66.8%, when compared with Full Search algorithm.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A study on motion estimation algorithm for moving pictures\",\"authors\":\"Ryota Bnadou, M. Hiramori, S. Iwade, H. Makino, Tutomu Yoshimura, Y. Matsuda\",\"doi\":\"10.1109/GCCE.2016.7800439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the operation cycle for Motion Vector Search is evaluated between the proposed search method and the conventional Full Search algorithm. As a result, the operation cycle of the proposed method is 74% smaller than Full Search algorithm but the circuit size is 0.8% larger than that of Full Search algorithm and the vector matching accuracy of the proposed search method deteriorate to 66.8%, when compared with Full Search algorithm.\",\"PeriodicalId\":416104,\"journal\":{\"name\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2016.7800439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 5th Global Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2016.7800439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on motion estimation algorithm for moving pictures
In this paper, the operation cycle for Motion Vector Search is evaluated between the proposed search method and the conventional Full Search algorithm. As a result, the operation cycle of the proposed method is 74% smaller than Full Search algorithm but the circuit size is 0.8% larger than that of Full Search algorithm and the vector matching accuracy of the proposed search method deteriorate to 66.8%, when compared with Full Search algorithm.