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Authors: Vitor de Lima 1 ; Thierry Moreira 1 ; Helio Pedrini 1 and William Robson Schwartz 2

Affiliations: 1 University of Campinas, Brazil ; 2 Universidade Federal de Minas Gerais, Brazil

Keyword(s): Video Compression, Fractal Encoding, Adaptive Transcoding, Scalable Coding.

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

Abstract: Video transmissions usually occur at a fixed or at a small number of predefined bit rates. This can lead to several problems in communication channels whose bandwidth can vary along time (e.g. wireless devices). This work proposes a video encoding method for solving such problems through a fine rate control that can be dynamically adjusted with low overhead. The encoder uses fractal compression and a simple rate distortion heuristic to preprocess the content in order to speed up the process of switching between different bit rates. Experimental results show that the proposed approach can accurately transcode a preprocessed video sequence into a large range of bit rates with a small computational overhead.

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Paper citation in several formats:
de Lima, V.; Moreira, T.; Pedrini, H. and Schwartz, W. (2017). Fast Scalable Coding based on a 3D Low Bit Rate Fractal Video Encoder. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 24-33. DOI: 10.5220/0006100400240033

@conference{visapp17,
author={Vitor {de Lima}. and Thierry Moreira. and Helio Pedrini. and William Robson Schwartz.},
title={Fast Scalable Coding based on a 3D Low Bit Rate Fractal Video Encoder},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={24-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006100400240033},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - Fast Scalable Coding based on a 3D Low Bit Rate Fractal Video Encoder
SN - 978-989-758-225-7
IS - 2184-4321
AU - de Lima, V.
AU - Moreira, T.
AU - Pedrini, H.
AU - Schwartz, W.
PY - 2017
SP - 24
EP - 33
DO - 10.5220/0006100400240033
PB - SciTePress

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