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A temporal subsampling approach for multiview depth map compression

journal contribution
posted on 2016-10-10, 10:19 authored by Erhan Ekmekcioglu, Stewart T. Worrall, Ahmet Kondoz
In this letter, a new method is proposed for multiview depth map compression. It is intended to skip some parts of certain depth map viewpoints without encoding and to just predict those skipped parts by exploiting the multiview correspondences and some flags transmitted. It is targeted to save the bit rate allocated for depth map sequences to a great extent. Multiview correspondences are exploited for each skipped depth map frame by making use of the depth map frames belonging to neighboring views and captured at the same time instant. A prediction depth map frame is constructed block by block on a free viewpoint qualitywise selective basis from a couple of candidate predictors generated through the implicit and explicit usage of the 3-D scene geometry. Especially at lower bit rates, dropping higher temporal layers of certain depth map viewpoints and replacing them with corresponding predictors generated using the proposed multiview aided approach save a great amount of bit rate for those depth map viewpoints. At the same time, the perceived quality of the reconstructed stereoscopic videos is maintained, which is proved through a set of subjective tests.

History

School

  • Loughborough University London

Published in

Circuits and Systems for Video Technology, IEEE Transactions on

Volume

19

Issue

8

Pages

1209 - 1213

Citation

EKMEKCIOGLU, E., WORRALL, S. and KONDOZ, A., 2009. A temporal subsampling approach for multiview depth map compression. IEEE Transactions on Circuits and Systems for Video Technology, 19 (8), pp.1209-1213.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2009

Notes

Closed access.

ISSN

1051-8215

Language

  • en

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