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Authors: Gabriel Baravdish ; Ehsan Miandji and Jonas Unger

Affiliation: Department of Science and Technology, Linköping University, Bredgatan 33, Norrköping and Sweden

ISBN: 978-989-758-354-4

Keyword(s): Light Field Compression, Gpgpu Computation, Sparse Representation.

Related Ontology Subjects/Areas/Topics: Computational Photography ; Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Multimodal and Multi-Sensor Models of Image Formation ; Rendering

Abstract: We present a method for GPU accelerated compression of light fields. The approach is by using a dictionary learning framework for compression of light field images. The large amount of data storage by capturing light fields is a challenge to compress and we seek to accelerate the encoding routine by GPGPU computations. We compress the data by projecting each data point onto a set of trained multi-dimensional dictionaries and seek the most sparse representation with the least error. This is done by a parallelization of the tensor-matrix product computed on the GPU. An optimized greedy algorithm to suit computations on the GPU is also presented. The encoding of the data is done segmentally in parallel for a faster computation speed while maintaining the quality. The results shows an order of magnitude faster encoding time compared to the results in the same research field. We conclude that there are further improvements to increase the speed, and thus it is not too far from an interacti ve compression speed. (More)

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Paper citation in several formats:
Baravdish, G.; Miandji, E. and Unger, J. (2019). GPU Accelerated Sparse Representation of Light Fields.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-354-4, pages 177-182. DOI: 10.5220/0007393101770182

@conference{visapp19,
author={Gabriel Baravdish. and Miandji, E. and Jonas Unger.},
title={GPU Accelerated Sparse Representation of Light Fields},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2019},
pages={177-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007393101770182},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - GPU Accelerated Sparse Representation of Light Fields
SN - 978-989-758-354-4
AU - Baravdish, G.
AU - Miandji, E.
AU - Unger, J.
PY - 2019
SP - 177
EP - 182
DO - 10.5220/0007393101770182

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