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Authors: Roya Choupani 1 ; Stephan Wong 2 and Mehmet Tolun 3

Affiliations: 1 Delft University of Technology and Çankaya University, Netherlands ; 2 Delft University of Technology, Netherlands ; 3 Aksaray University, Turkey

ISBN: 978-989-758-089-5

Keyword(s): Scalable Video Coding, Rate Distortion Optimization, Drift Error.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Formation and Preprocessing

Abstract: In video coding, dependencies between frames are being exploited to achieve compression by only coding the differences. This dependency can potentially lead to decoding inaccuracies when there is a communication error, or a deliberate quality reduction due to reduced network or receiver capabilities. The dependency can start at the reference frame and progress through a chain of dependent frames within a group of pictures (GOP) resulting in the so-called drift error. Scalable video coding schemes should deal with such drift errors while maximizing the delivered video quality. In this paper, we present a multi-layer hierarchical structure for scalable video coding capable of reducing the drift error. Moreover, we propose an optimization to adaptively determine the quantization step size for the base and enhancement layers. In addition, we address the trade-off between the drift error and the coding efficiency. The improvements in terms of average PSNR values when one frame in a GOP is lost are 3.70(dB) when only the base layer is delivered, and 4.78(dB) when both the base and the enhancement layers are delivered. The improvements in presence of burst errors are 3.52(dB) when only the base layer is delivered, and 4.50(dB) when both base and enhancement layers are delivered. (More)

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Paper citation in several formats:
Choupani, R.; Wong, S. and Tolun, M. (2015). Hierarchical SNR Scalable Video Coding with Adaptive Quantization for Reduced Drift Error.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 117-123. DOI: 10.5220/0005306001170123

@conference{visapp15,
author={Roya Choupani. and Stephan Wong. and Mehmet Tolun.},
title={Hierarchical SNR Scalable Video Coding with Adaptive Quantization for Reduced Drift Error},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={117-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005306001170123},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Hierarchical SNR Scalable Video Coding with Adaptive Quantization for Reduced Drift Error
SN - 978-989-758-089-5
AU - Choupani, R.
AU - Wong, S.
AU - Tolun, M.
PY - 2015
SP - 117
EP - 123
DO - 10.5220/0005306001170123

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