https://scholars.lib.ntu.edu.tw/handle/123456789/387320
標題: | Coarse-grained reconfigurable stream processor for distributed smart cameras | 作者: | Chan, W.-K. Tseng, Y.-H. Lin, Y.-S. SHAO-YI CHIEN |
公開日期: | 2014 | 來源出版物: | IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation | 摘要: | To support distributed video content analysis for video sensors in machine-to-machine networks, a reconfigurable stream processor for distributed smart cameras is proposed in this paper. A coarse-grained reconfigurable image stream processing architecture (CRISPA) with heterogeneous stream processing (HSP) and subword-level parallelism (SLP) is proposed to accelerate various algorithms for computer vision applications of smart-cameras. Implementation results show that the proposed design outperforms existing vision processors in many aspects: the on-chip memory size, power efficiency and area efficiency are 18.2 to 87.4 times, 4.5 to 12.5 times, and 3.8 to 25.5 times better than the state-of-the-art chips. Moreover, the programmability of the proposed design makes it capable of supporting many high-level computer vision algorithms in high specification. © 2014 IEEE. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-84920268953&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/387320 |
ISSN: | 15206130 | DOI: | 10.1109/SiPS.2014.6986097 | SDG/關鍵字: | Cameras; Computer hardware description languages; Efficiency; Integrated circuit design; Machine-to-machine communication; Reconfigurable architectures; Silicon compounds; Coarse-grained reconfigurable; Computer vision applications; Distributed Smart Cameras; High-level computer vision; Machine to machines; Stream processing; Video-content analysis; Vision processor; Computer vision |
顯示於: | 電子工程學研究所 |
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