{"title":"用于非常低比特率在线视频应用的低功耗视频对象运动跟踪架构","authors":"Wael Badawy, M. Bayoumi","doi":"10.1109/ICCD.2000.878333","DOIUrl":null,"url":null,"abstract":"This paper presents a low power VLSI architecture for video object motion-tracking that can be used in very low bit rate online video applications. Power has been reduced at both algorithmic and arithmetic levels. The video object motion-tracking architecture consists of two main parts, a mesh-based motion estimation unit and a mesh-based motion compensation unit. The mesh-based motion estimation unit implements parallel block matching motion estimation units to optimize the latency. The mesh-based motion compensation unit uses parallel multiplication-free affine core. The architecture has been prototyped and its performance measures have been evaluated. This processor can be used in online object-based video applications.","PeriodicalId":437697,"journal":{"name":"Proceedings 2000 International Conference on Computer Design","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Low power video object motion-tracking architecture for very low bit rate online video applications\",\"authors\":\"Wael Badawy, M. Bayoumi\",\"doi\":\"10.1109/ICCD.2000.878333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a low power VLSI architecture for video object motion-tracking that can be used in very low bit rate online video applications. Power has been reduced at both algorithmic and arithmetic levels. The video object motion-tracking architecture consists of two main parts, a mesh-based motion estimation unit and a mesh-based motion compensation unit. The mesh-based motion estimation unit implements parallel block matching motion estimation units to optimize the latency. The mesh-based motion compensation unit uses parallel multiplication-free affine core. The architecture has been prototyped and its performance measures have been evaluated. This processor can be used in online object-based video applications.\",\"PeriodicalId\":437697,\"journal\":{\"name\":\"Proceedings 2000 International Conference on Computer Design\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 2000 International Conference on Computer Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCD.2000.878333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2000 International Conference on Computer Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2000.878333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low power video object motion-tracking architecture for very low bit rate online video applications
This paper presents a low power VLSI architecture for video object motion-tracking that can be used in very low bit rate online video applications. Power has been reduced at both algorithmic and arithmetic levels. The video object motion-tracking architecture consists of two main parts, a mesh-based motion estimation unit and a mesh-based motion compensation unit. The mesh-based motion estimation unit implements parallel block matching motion estimation units to optimize the latency. The mesh-based motion compensation unit uses parallel multiplication-free affine core. The architecture has been prototyped and its performance measures have been evaluated. This processor can be used in online object-based video applications.
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