{"title":"视频压缩的三点搜索算法","authors":"Z. Cai, V. Tran, A. Bradley","doi":"10.1109/ISSPA.1996.615696","DOIUrl":null,"url":null,"abstract":"Based on the analysis of motion directions, a new search algorithm called Three-Point Search (TPS) is proposed. The main advantages of this method are as follows: 1) searching accuracy of TPS is very close to that of the full search (FS) algorithm that results in optimal matching results; 2) computational complexity is far less than that of FS. For a maximum motion displacement of w pelslframe, this approach needs 5+3w computations to locate the best match. The average computations is far less than 5+3w because a halfway-stop search technique is used. The simulations showed that the average difference in peak signal-to-noise ratio between FS and TPS is around 0.18 dB to the known CIF video sequences.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Three-Point Search Algorithm for Video Compression\",\"authors\":\"Z. Cai, V. Tran, A. Bradley\",\"doi\":\"10.1109/ISSPA.1996.615696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the analysis of motion directions, a new search algorithm called Three-Point Search (TPS) is proposed. The main advantages of this method are as follows: 1) searching accuracy of TPS is very close to that of the full search (FS) algorithm that results in optimal matching results; 2) computational complexity is far less than that of FS. For a maximum motion displacement of w pelslframe, this approach needs 5+3w computations to locate the best match. The average computations is far less than 5+3w because a halfway-stop search technique is used. The simulations showed that the average difference in peak signal-to-noise ratio between FS and TPS is around 0.18 dB to the known CIF video sequences.\",\"PeriodicalId\":359344,\"journal\":{\"name\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.1996.615696\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Symposium on Signal Processing and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.1996.615696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Three-Point Search Algorithm for Video Compression
Based on the analysis of motion directions, a new search algorithm called Three-Point Search (TPS) is proposed. The main advantages of this method are as follows: 1) searching accuracy of TPS is very close to that of the full search (FS) algorithm that results in optimal matching results; 2) computational complexity is far less than that of FS. For a maximum motion displacement of w pelslframe, this approach needs 5+3w computations to locate the best match. The average computations is far less than 5+3w because a halfway-stop search technique is used. The simulations showed that the average difference in peak signal-to-noise ratio between FS and TPS is around 0.18 dB to the known CIF video sequences.
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