{"title":"Reconfigurable motion estimation architecture design on H.264/AVC for power aware mobile application","authors":"Yu-Nan Pan, De-Yuan Shen, T. Tsai","doi":"10.1109/SOCDC.2008.4815618","DOIUrl":null,"url":null,"abstract":"The multimedia system on the mobile is becoming universal, and the multimedia technology has made a significant progress. A mobile device generally with a limited power but is very powerful to support multimedia functions, such as the real-time video communication, movie watching, video and photo capture. In order to support this high computation complexity with the limited power, a power aware architecture is necessary. In a video system, motion estimation has the highest computation complexity. Therefore, in this paper, a concept of a power aware motion estimation architecture design is introduced. The architecture integrated the FS and the Edge Information Mode Decision (EIMD) + Predict Hexagon Search (PHS). With some reconfigurable issues, this architecture achieved the real-time specification with different power status.","PeriodicalId":405078,"journal":{"name":"2008 International SoC Design Conference","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International SoC Design Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCDC.2008.4815618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The multimedia system on the mobile is becoming universal, and the multimedia technology has made a significant progress. A mobile device generally with a limited power but is very powerful to support multimedia functions, such as the real-time video communication, movie watching, video and photo capture. In order to support this high computation complexity with the limited power, a power aware architecture is necessary. In a video system, motion estimation has the highest computation complexity. Therefore, in this paper, a concept of a power aware motion estimation architecture design is introduced. The architecture integrated the FS and the Edge Information Mode Decision (EIMD) + Predict Hexagon Search (PHS). With some reconfigurable issues, this architecture achieved the real-time specification with different power status.