Superpixel accelerator for computer vision applications on arria 10 SoC

Amila Akagic, Emir Buza, Razija Turcinhodzic, Hana Haseljic, Noda Hiroyuki, Hideharu Amano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Superpixel segmentation is a very popular image segmentation technique used in various computer vision tasks. Recently, a number of superpixel algorithms have been proposed in literature. One such algorithm is considered as the-state-of-the-art in superpixel segmentation: Simple Linear Iterative Clustering or SLIC. However, its original implementation has a long execution time on high performance processors designed within the common mobile and enterprise applications, as well on high-end processors such as Intel Xeon. Overall, the execution time for single-threaded implementation is considered critical for real-time or near real-time applications. In this paper, we explore the possibility of accelerating parts of the SLIC image segmentation critical for performance, by designing the image segmentation accelerator for Intel's Arria 10 SoC. We propose a novel architecture to enable hardware acceleration by addressing the problem of hardware/software partitioning to minimize the overall program latency.

Original languageEnglish
Title of host publicationProceedings - 21st IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-60
Number of pages6
ISBN (Electronic)9781538657546
DOIs
Publication statusPublished - 2018 Jul 11
Event21st IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2018 - Budapest, Hungary
Duration: 2018 Apr 252018 Apr 27

Other

Other21st IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2018
CountryHungary
CityBudapest
Period18/4/2518/4/27

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Keywords

  • Computer Vision
  • Hardware Acceleration
  • Image segmentation
  • OpenCL

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Akagic, A., Buza, E., Turcinhodzic, R., Haseljic, H., Hiroyuki, N., & Amano, H. (2018). Superpixel accelerator for computer vision applications on arria 10 SoC. In Proceedings - 21st IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2018 (pp. 55-60). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDECS.2018.00-12