{"title":"适合随机块匹配的低功耗全搜索运动估计器结构","authors":"Kyung-Saeng Kim, Dong-Jae Lee, H. Yoo, Kwyro Lee","doi":"10.1109/APASIC.1999.824065","DOIUrl":null,"url":null,"abstract":"We propose a new motion estimator with two types of embedded memory banks. Its overall system efficiency is extremely high for full-search block match algorithm (FBMA). The results show that its power-area product is nearly 1.13 and switching-overhead is low between FBMA and random-search block match algorithm in the case of CCIR-601 format.","PeriodicalId":346808,"journal":{"name":"AP-ASIC'99. First IEEE Asia Pacific Conference on ASICs (Cat. No.99EX360)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low-power full-search motion estimator architecture suitable for random-block match\",\"authors\":\"Kyung-Saeng Kim, Dong-Jae Lee, H. Yoo, Kwyro Lee\",\"doi\":\"10.1109/APASIC.1999.824065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new motion estimator with two types of embedded memory banks. Its overall system efficiency is extremely high for full-search block match algorithm (FBMA). The results show that its power-area product is nearly 1.13 and switching-overhead is low between FBMA and random-search block match algorithm in the case of CCIR-601 format.\",\"PeriodicalId\":346808,\"journal\":{\"name\":\"AP-ASIC'99. First IEEE Asia Pacific Conference on ASICs (Cat. No.99EX360)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AP-ASIC'99. First IEEE Asia Pacific Conference on ASICs (Cat. No.99EX360)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APASIC.1999.824065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AP-ASIC'99. First IEEE Asia Pacific Conference on ASICs (Cat. No.99EX360)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APASIC.1999.824065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-power full-search motion estimator architecture suitable for random-block match
We propose a new motion estimator with two types of embedded memory banks. Its overall system efficiency is extremely high for full-search block match algorithm (FBMA). The results show that its power-area product is nearly 1.13 and switching-overhead is low between FBMA and random-search block match algorithm in the case of CCIR-601 format.