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Authors: Ehsan Rahimi and Chris Joslin

Affiliation: Carleton University, Canada

ISBN: 978-989-758-290-5

Keyword(s): Stereoscopic Video, 3D/Multiview Video, Depth Map and Color Image, Multiple Description Coding, Error Prone Environment, Region of Interest, Pixel Variation, Coefficient of Variation.

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: In this paper, we introduce a new reliable method of stereoscopic Video Streaming based on multiple description coding strategy. The proposed multiple description coding generates 3D video descriptions considering interesting objects contained in its scene. To be able to find interesting objects in the scene, we use two metrics from the second order statistics of the depth map image in a block-wise manner. Having detected the objects, the proposed multiple description coding algorithm generates the 3D video descriptions for the color video using a non-identical decimation method with respect to the identified objects. The objective test results verify the fact that the proposed method provides an improved performance than that provided by the polyphase subsampling multiple description coding and our previous work using pixel variation.

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Paper citation in several formats:
Rahimi, E.; Rahimi, E. and Joslin, C. (2018). Reliable Stereoscopic Video Streaming Considering Important Objects of the Scene.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 135-142. DOI: 10.5220/0006616801350142

@conference{visapp18,
author={Ehsan Rahimi. and Ehsan Rahimi. and Chris Joslin.},
title={Reliable Stereoscopic Video Streaming Considering Important Objects of the Scene},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006616801350142},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Reliable Stereoscopic Video Streaming Considering Important Objects of the Scene
SN - 978-989-758-290-5
AU - Rahimi, E.
AU - Rahimi, E.
AU - Joslin, C.
PY - 2018
SP - 135
EP - 142
DO - 10.5220/0006616801350142

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