On the efficient algorithm/architecture co-exploration for complex video processing

Giun Lee Gwo, Wang Ming-Jiun, Lin He-Yuan, Lai Ron-Lai

研究成果: Conference contribution

6 引文 斯高帕斯(Scopus)

摘要

Targeted for highly sophisticated visual signal processing, we introduce in this paper complexity metrics or measures of algorithms which featuring architectural information are feedback or back annotated in early design stages to facilitate concurrent exploration of both algorithmic and architectural optimizations. With application to 3D spatio-temporal motion estimation for video coding, we have demonstrated significant reduction in design cost while the algorithmic performance still surpasses recent published works and even full search under many circumstances. Moreover, we have also shown the importance and substantiality of this complexity analysis technique in the extraction of features common to various different de-interlacing algorithms adapted for versatile video content, in designing highly efficient reconfigurable video architectures. As such this novel algorithm/architecture co-exploration methodology forms the basis for dataflow models with more accurate software/hardware partitioning resulting in multi-million gate and/or instruction software simulation platforms and fast prototyping hardware platforms for the next generation electronic system level design of SoC's.

原文English
主出版物標題2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
頁面1057-1060
頁數4
DOIs
出版狀態Published - 2008
事件2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, Germany
持續時間: 2008 六月 232008 六月 26

出版系列

名字2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Other

Other2008 IEEE International Conference on Multimedia and Expo, ICME 2008
國家Germany
城市Hannover
期間08-06-2308-06-26

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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