{"title":"一种基于多参考帧的快速运动估计算法","authors":"Li-ni Ma, Y. Shen, Zhuo Gao","doi":"10.1109/FUTURETECH.2010.5482745","DOIUrl":null,"url":null,"abstract":"The new H.264 AVC video coding standard supports searching the best motion vector in multi-reference frame, but searching one by one increases calculation complexity. Herein by fully analyzing the affecting factors in multi-reference frame environment, we put forward a new fast motion estimation method base on multiple-reference frame technique. Experiment shows that this could reduce the complexity of motion estimation effectively while retaining high ratio of signal-to-noise and low bit rate.","PeriodicalId":380192,"journal":{"name":"2010 5th International Conference on Future Information Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Fast Motion Estimation Algorithm Scheme Based on Multi-Reference Frame\",\"authors\":\"Li-ni Ma, Y. Shen, Zhuo Gao\",\"doi\":\"10.1109/FUTURETECH.2010.5482745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new H.264 AVC video coding standard supports searching the best motion vector in multi-reference frame, but searching one by one increases calculation complexity. Herein by fully analyzing the affecting factors in multi-reference frame environment, we put forward a new fast motion estimation method base on multiple-reference frame technique. Experiment shows that this could reduce the complexity of motion estimation effectively while retaining high ratio of signal-to-noise and low bit rate.\",\"PeriodicalId\":380192,\"journal\":{\"name\":\"2010 5th International Conference on Future Information Technology\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 5th International Conference on Future Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUTURETECH.2010.5482745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 5th International Conference on Future Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUTURETECH.2010.5482745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fast Motion Estimation Algorithm Scheme Based on Multi-Reference Frame
The new H.264 AVC video coding standard supports searching the best motion vector in multi-reference frame, but searching one by one increases calculation complexity. Herein by fully analyzing the affecting factors in multi-reference frame environment, we put forward a new fast motion estimation method base on multiple-reference frame technique. Experiment shows that this could reduce the complexity of motion estimation effectively while retaining high ratio of signal-to-noise and low bit rate.
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