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Authors: Ehsan Rahimi and Chris Joslin

Affiliation: Carleton University, Canada

Keyword(s): Multimedia Communication, 3D Video, Colorful 2D Image, Gray Scale Depth Map Image, Multiple Description Coding, Error Prone Environment, Packet Failure, Spatial Decimation, Compression Efficiency.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion ; Visual Attention and Image Saliency

Abstract: 3D video is becoming a most favorable video and attracting researcher’s mind to provide robust methods of streaming since packet failure has always been the inseparable characteristic of wired or wireless networks. This paper aims to provide a new multiple description coding for 3D video considering objects existed in the scene. To this end, a low complex algorithm for realizing objects in 3D scene will provided and then a non-identical decimation method with respect to objects will be utilized to produce descriptions of MDC approach. Also, in point of depth map image, a new non-identical MDC algorithm will be be introduced to stream depth map image saving bandwidth without affecting the quality of decoded video in the receiver side.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rahimi, E. and Joslin, C. (2017). 3D Video Multiple Description Coding Considering Region of Interest. 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 208-215. DOI: 10.5220/0006151802080215

@conference{visapp17,
author={Ehsan Rahimi. and Chris Joslin.},
title={3D Video Multiple Description Coding Considering Region of Interest},
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={208-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006151802080215},
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 - 3D Video Multiple Description Coding Considering Region of Interest
SN - 978-989-758-225-7
IS - 2184-4321
AU - Rahimi, E.
AU - Joslin, C.
PY - 2017
SP - 208
EP - 215
DO - 10.5220/0006151802080215
PB - SciTePress