Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/16682
Title: Improving decoding speed for parallel distributed video coding architectures
Authors: Micallef, Jeffrey J.
Farrugia, Reuben A.
Debono, Carl James
Keywords: Video compression
Rate distortion theory
Parallel processing (Electronic computers)
Computer architecture
Issue Date: 2013
Publisher: European Signal Processing Conference, EUSIPCO
Citation: Micallef, J. J., Farrugia, R. A., & Debono, C. J. (2013). Improving decoding speed for parallel distributed video coding architectures. 21st European Signal Processing Conference (EUSIPCO 2013), Marrakech. 1-5.
Abstract: The Distributed Video Coding (DVC) paradigm is suitable for devices which have limited encoding capabilities. However, it is characterized by excessive decoding delays which compromise their application for time constrained services. This limitation can be mitigated by adopting parallel DVC architectures. Yet, the traditional Gray-code or binary-code representations have a non-uniform distribution of mismatch across bit-planes, resulting in uneven decoding times which hinder parallel decoding. This work proposes an alternative indexing scheme, where mismatch is distributed more uniformly amongst bit-planes and thus comparable decoding delays are expected, facilitating parallel implementations. This method reduces decoding time by up to 32% compared to architectures using simple parallel techniques, with a slight loss of 0.06dB in RD performance.
Description: The research work disclosed in this publication is partially funded by the Strategic Educational Pathways Scholarship Scheme (Malta). The scholarship is part-financed by the European Union – European Social Fund. (ESF 1.25).
URI: https://www.um.edu.mt/library/oar//handle/123456789/16682
ISBN: 9780992862602
Appears in Collections:Scholarly Works - FacICTCCE

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