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dc.contributor.authorWang, Guohui
Xiong, Y.
Yun, Jay
Cavallaro, Joseph R.
dc.date.accessioned 2013-10-25T21:20:01Z
dc.date.available 2013-10-25T21:20:01Z
dc.date.issued 2013-06
dc.identifier.citation G. Wang, Y. Xiong, J. Yun and J. R. Cavallaro, "Accelerating Computer Vision Algorithms Using OpenCL Framework on Mobile Devices - A Case Study," 2013.
dc.identifier.urihttps://hdl.handle.net/1911/75009
dc.description.abstract Recently, general-purpose computing on graphics processing units (GPGPU) has been enabled on mobile devices thanks to the emerging heterogeneous programming models such as OpenCL. The capability of GPGPU on mobile devices opens a new era for mobile computing and can enable many computationally demanding computer vision algorithms on mobile devices. As a case study, this paper proposes to accelerate an exemplar-based inpainting algorithm for object removal on a mobile GPU using OpenCL. We discuss the methodology of exploring the parallelism in the algorithm as well as several optimization techniques. Experimental results demonstrate that our optimization strategies for mobile GPUs have significantly reduced the processing time and make computationally intensive computer vision algorithms feasible for a mobile device. To the best of the authors’ knowledge, this work is the first published implementation of general-purpose computing using OpenCL on mobile GPUs.
dc.description.sponsorship US National Science Foundation grant CNS-1265332
dc.description.sponsorship US National Science Foundation grant ECCS-1232274
dc.description.sponsorship US National Science Foundation grant EECS- 0925942
dc.description.sponsorship US National Science Foundation grant CNS-0923479
dc.language.iso eng
dc.publisher IEEE
dc.subjectGPGPU
mobile SoC
computer vision implementation
CPU-GPU algorithm partitioning
parallel architectures
dc.title Accelerating Computer Vision Algorithms Using OpenCL Framework on Mobile Devices - A Case Study
dc.type Conference paper
dc.citation.location Vancouver, Canada
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.citation.conferenceDate 2013
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.2013.6638132
dc.citation.firstpage 2629
dc.citation.lastpage 2633


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  • ECE Publications [1327]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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